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  • BSZ  (177)
  • Online Resource  (177)
  • Cham : Springer Nature Switzerland  (174)
  • Wiesbaden : Springer Fachmedien Wiesbaden  (3)
  • Cambridge : Cambridge University Press
  • Cambridge, UK : Cambridge University Press
  • Artificial intelligence.  (177)
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  • 1
    Online Resource
    Online Resource
    Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031379598
    Language: English
    Pages: 1 Online-Ressource(XVII, 133 p. 33 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 427
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction to Fuzzy Cognitive Maps -- Systemic Relationships Between Regional Sustainability and Waste Management -- Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- Rethinking the Set of Concepts - Applying Expert Analysis by the Workshop Method -- Model Reduction Methods -- Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- Behavioral Analysis of Fuzzy Cognitive Maps -- Fuzzy Cognitive Maps: Mathematical Challenges -- Dynamics of Classical Fuzzy Cognitive Maps -- Dynamics of Fuzzy Cognitive Maps with Uncertain Weights.
    Abstract: This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model. The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.
    DOI: 10.1007/978-3-031-37959-8
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    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477218
    Language: English
    Pages: 1 Online-Ressource(XII, 885 p. 329 illus., 248 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 822
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Robotics. ; Automation.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47721-8
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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031485732
    Language: English
    Pages: 1 Online-Ressource(XXI, 616 p. 261 illus., 219 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 838
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.
    Abstract: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48573-2
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    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Advances in Knowledge Discovery and Management : Volume 10 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031404030
    Language: English
    Pages: 1 Online-Ressource(XVI, 129 p. 68 illus., 49 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1110
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining.
    Abstract: 1.New Methods for Compressing Table Constraints -- 2.Construction and Elicitation of a Black Box Model in the Game of Bridge -- 3.Knowledge graph publishing with anatomy, toward a new privacy and utility trade-off -- 4.Comparison of Short-Text Embeddings for Unsupervised Event Detection in a Stream of Tweets -- 5.Multilingual Question Answering applied to Conversational Agents -- 6.Reinforcement Learning for Expert Finding from Web Search Results -- List of Contributors -- Author Index.
    Abstract: This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020). It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr.".
    DOI: 10.1007/978-3-031-40403-0
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477188
    Language: English
    Pages: 1 Online-Ressource(XII, 905 p. 448 illus., 340 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 825
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47718-8
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    BSZ
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  • 6
    Online Resource
    Online Resource
    When Robots Hug (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508035
    Language: English
    Pages: 1 Online-Ressource(X, 96 p.)
    Edition: 1st ed. 2024.
    Series Statement: Science and Fiction
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Fiction. ; Artificial intelligence. ; Telecommunication. ; User interfaces (Computer systems). ; Human-computer interaction. ; Cooperating objects (Computer systems).
    Abstract: Introduction -- The DARPA Dilemma -- Scattered Avatars -- Topsy Turing -- Fractured Memories -- Artificial Neurogenesis -- The Assimilation -- The Collective Singing the ‘I Can’t Decrypt Them’ Blues -- SANDI’s Environment -- Chatbot Lydia -- Asimov’s Failure -- The Hackers get Hacked -- Dangerous Liaisons -- SANDI’s Dilemma -- Dead. Yet Alive -- Answers at Last -- Preparing to Bring them Home -- The Collection Process -- The Final Preparations -- The Integration Begins -- The Integration of MAXWELL -- The Integration of ISAAC -- The Integration of SANDI -- The Integration of ELYSE -- When Robots Hug -- The Science Behind the Novel -- Conclusion.
    Abstract: By 2027, it had been seven years since the scientists’ sea-changing research on artificial psychology and robotics. The work debuted around the same time as Large Language Model Chatbots, and the power of the integration of the two technologies put many industries in a tailspin. The commercial and defense industries especially were still scrambling to regulate their use in research and universities. The sought-after scientists signed with DARPA to build reliable and secure AI entities, but the agency grew fearful of the technology’s power and ultimately decided it was too dangerous to bring to market and demanded the scientists destroy the work. The researchers couldn’t bring themselves to discard 20 years of research, so instead sent the entities to various research labs around the world. But unbeknownst to them, each AI-entity embraced its new home, growing, adapting, evolving, and ultimately connecting beyond what the researchers could envision. In the end, as the scientists catch up to each one, they realize the entities have discovered a very human means of interacting: the power of physical contact; and not physical contact between humans and technology, but physical contact between robotic entities. And with this discovery, the entities join forces to only grow stronger. This development ushers in a new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it’s not hard to envision.
    DOI: 10.1007/978-3-031-50803-5
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  • 7
    Online Resource
    Online Resource
    Recent Advances in Technology Research and Education : Selected Papers of the 20th International Conference on Global Research and Education Inter-Academia (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031544507
    Language: English
    Pages: 1 Online-Ressource(IX, 330 p. 191 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 939
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Properties of Vacuum-Evaporated Metal Halide Perovskite Absorbers on Planar and Nanotextured Silicon Substrates -- Spin relaxation in GaAs/AlGaAs coupled quantum wells -- Tritium Release Behavior of Biphasic Lithium Ceramic with Low Li4SiO4 Content -- Synthesis and characterization of functionalized zinc phthalocyanine-natural polymer systems -- Study of the phase changes in ZnS-based phosphors crystal structure impact on their radioluminescent performances -- Analysis of the Resistance of Silicon Nanoscale Structures Highly Doped in Different Configurations -- Study of p-n junctions created by laser implantation of In in semi-insulating p-CdTe:Cl -- Spectroscopic studies of high performance CdTe-based Schottky diode X/γ-ray sensors -- Comparative Evaluation of Electrical Properties of Carbon Nanotube Networks Deposited on CMOS-Compatible Platform -- Dielectric SiO2 sol-gel coatings for microelectronics.
    Abstract: This book presents the 20th edition of the Inter-Academia Conference which aims to be a valuable resource for academic institutions in search for novel approaches for a global education, for industry partners exploring new fundamental research ideas, for government bodies seeking international projects that promote sustainable growth, and most certainly for the global scientific community, more and more invested in the multi-disciplinarity of modern research. Interdisciplinary research collaboration is crucial for solving many pressing issues and challenges facing society today. Bringing together researchers and educators from different disciplines allows a more holistic understanding of complex problems, providing also the opportunity for new learning and for collaboration on complex projects. Beyond its scientific merits and value, Inter-Academia also promotes a culture of intellectual diversity, innovative thinking, and global perspective that can foster breakthrough discoveries, unexpected advancements in research, and, last but not least, a sense of belonging to a global community. Being established in 2002, the Inter-Academia Community currently gathers researchers from 14 leading Universities in Eastern and Central Europe, together with Shizuoka University, in Japan. As such, the Inter-Academia Community serves as a strong bond across continents, allowing the development of a number of global projects for student and researcher mobility, with a significant impact on the broader scientific community. The peer-reviewed papers included in this book hopefully stimulate further interactions and collaborations covering both fundamental and applied research, with benefits for the global society.
    DOI: 10.1007/978-3-031-54450-7
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  • 8
    Online Resource
    Online Resource
    Artificial Intelligence of Things for Achieving Sustainable Development Goals (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534331
    Language: English
    Pages: 1 Online-Ressource(XIV, 388 p. 105 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 192
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Environmental sciences ; Engineering
    Abstract: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.
    Abstract: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.
    DOI: 10.1007/978-3-031-53433-1
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  • 9
    Online Resource
    Online Resource
    AI Approaches for Designing and Evaluating Interactive Intelligent Systems : Selected and Revised Papers from RoCHI 2022 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539572
    Language: English
    Pages: 1 Online-Ressource(X, 203 p. 52 illus., 37 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 36
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Artificial intelligence.
    Abstract: Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications. The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 that was held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts. Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
    DOI: 10.1007/978-3-031-53957-2
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  • 10
    Online Resource
    Online Resource
    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 4 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579165
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 485 p. 178 illus., 141 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 202
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: The Deployment of E-Learning Application as a Web Service in a Cloud Broker Architecture -- CarbonApp: Blockchain Enabled Carbon Offset Project Management -- Investigating the Impact of Congestion Control Algorithms on Edge-Cloud Continuum -- Design and Implementation of a Fuzzy-based System for Assessment of Relationship Trust -- BarongTrace: A Malware Event Log Dataset for Linux -- Specifying SSI over EAP: Towards an Even Better Eduroam in the Future -- FastSGX: A Message-passing based Runtime for SGX -- Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection -- Enhancing the 5G-AKA Protocol with Post-Quantum Digital Signature Method -- SoK: Directions and Issues in Formal Verification of Payment Protocols -- PCPR: Plaintext Compression and Plaintext Reconstruction for Reducing Memory Consumption on Homomorphically Encrypted CNN -- Design and Performance Evaluation of a Two-stage Detection of DDoS Attacks Using a Trigger with a Feature on Riemannian Manifolds -- Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings -- Towards User-Oriented Steganography -- AI-based Cybersecurity Systems.
    Abstract: The aim of the book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure, and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design, and applications of computer networks, distributed computing, and information systems.
    DOI: 10.1007/978-3-031-57916-5
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  • 11
    Online Resource
    Online Resource
    Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542770
    Language: English
    Pages: 1 Online-Ressource(XII, 246 p. 68 illus., 59 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 148
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.
    Abstract: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
    DOI: 10.1007/978-3-031-54277-0
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  • 12
    Online Resource
    Online Resource
    New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031556845
    Language: English
    Pages: 1 Online-Ressource(XII, 434 p. 153 illus., 114 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1149
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-55684-5
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  • 13
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    Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031608407
    Language: English
    Pages: 1 Online-Ressource(VII, 250 p. 90 illus., 74 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 999
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.
    DOI: 10.1007/978-3-031-60840-7
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  • 14
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    IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities : Harnessing the Power of IoT to Create Sustainable and Efficient Urban Environments Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031606298
    Language: English
    Pages: 1 Online-Ressource(XI, 512 p. 411 illus., 349 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 984
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Energy policy. ; Energy and state. ; Artificial intelligence.
    Abstract: This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.
    DOI: 10.1007/978-3-031-60629-8
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  • 15
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    Producing Artificial Intelligent Systems : The Roles of Benchmarking, Standardisation and Certification (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558177
    Language: English
    Pages: 1 Online-Ressource(XII, 167 p. 46 illus., 38 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1150
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: On the relationship between Benchmarking, Standardisation and Certification in Robotics and AI -- Confiance.ai Program, Software Engineering for Trustworthy AI -- Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots -- Trustworthy Artificial Intelligence in the Context of Metrology -- Performance Modelling of Autonomous Mobile Robot Software Components -- Towards Standardization of Interaction Design: Cognitive Developmental Robotics Revisited -- KPI-driven Energy Monitoring Dashboards for Robotic Performance -- Co-Regulation and AI Innovation -- Prolegomenon for a Family of Theorems Regarding Trustworthiness in Autonomous Artificial Agents -- The Quest for an AI Ethics: Between Benevolence and Greed.
    Abstract: The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment. In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-.
    DOI: 10.1007/978-3-031-55817-7
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  • 16
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    Computational Intelligence and Mathematics for Tackling Complex Problems 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031469794
    Language: English
    Pages: 1 Online-Ressource(X, 147 p. 33 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1127
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Mathematics
    Abstract: Additional notes on heterogeneous concept-forming operators -- On the measure of inconsistency of fuzzy relation equations -- Efficiency of fuzzy rough set decision algorithms -- Use of Fuzzy Time Series to generate linguistic descriptions of noise pollution -- A Novel Fingerprint Identification Fuzzy System Using a Center-Distance Weighted Local Binary Pattern -- Global Sensitivity Analysis and Low Magnitude Pruning for Convolutional Neural Networks Reduction in ImageNet based on Transfer Learning State of the Art Models -- Generalized linearity of aggregation and related functions -- A preliminary study between semicopulas and other algebraic structures -- Closure theory of semirings-valued fuzzy sets.
    Abstract: This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age. It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic. It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).
    DOI: 10.1007/978-3-031-46979-4
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  • 17
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    Intelligent Systems, Business, and Innovation Research (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031368950
    Language: English
    Pages: 1 Online-Ressource(XVII, 978 p. 252 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 489
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Engineering mathematics.
    Abstract: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).
    Abstract: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.
    DOI: 10.1007/978-3-031-36895-0
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  • 18
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    Biologically Inspired Cognitive Architectures 2023 : Proceedings of the 14th Annual Meeting of the BICA Society (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031503818
    Language: English
    Pages: 1 Online-Ressource(XXIII, 1048 p. 375 illus., 275 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1130
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
    DOI: 10.1007/978-3-031-50381-8
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  • 19
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    Ethics and Artificial Intelligence : Towards a Moral Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031509025
    Language: English
    Pages: 1 Online-Ressource(VIII, 83 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 519
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering.
    Abstract: It is a book made up of questions, some without certain answers, that attempts to open the reader's mind to new and, perhaps, futuristic scenarios. There are two diametrically opposed approaches to artificial intelligence today. On the one hand, there are the techno-pessimists who see only dystopian scenarios and experience technological progress with apprehension, emphasising the dangers, and on the other hand, there are the techno-optimists who, on the other hand, tend to overestimate the positive effects, going so far as to attribute almost thaumaturgic virtues to technological progress. Our approach is meant to be secular and scientific; the risks must not be concealed, nor must they be overestimated, just as the positive aspects must not be emphasised. And, in any case, as in any social phenomenon, the governance of processes and the definition of a system of rules and policies are the aspects that can create advantages or disadvantages and, above all, can determine who are the beneficiaries of the advantages and who have to bear the disadvantages. Like any new technology, this too can be dehumanising, but technology is a tool that depends on how it is used and by whom it is used. that of ethics is, therefore, a fundamental aspect. Therefore, one should neither be a techno-optimist nor a techno-pessimist, but should be aware that governing the economic and social structural changes that the advent of artificial intelligence will cause will be crucial to ensure prosperity for future generations and to avoid negative and even apocalyptic scenarios. So no futurist dystopias! Humanity has so far always been able to govern technological progress, it certainly has the potential to govern what some have called 'the Final Invention', but it will only succeed if it is able to understand the peculiarities of this new process of technological development and give it ethical content.The book provides a thoughtful review of the relationship between artificial intelligence and ethics, approaching the issue from different perspectives: philosophical, technological, economic and legal. This will be one of the most important issues that Humanity will have to face and resolve.
    DOI: 10.1007/978-3-031-50902-5
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  • 20
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    Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031475085
    Language: English
    Pages: 1 Online-Ressource(X, 670 p. 268 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1453
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting.
    Abstract: This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.
    DOI: 10.1007/978-3-031-47508-5
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  • 21
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578700
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 462 p. 198 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 201
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57870-0
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  • 22
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    New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031537134
    Language: English
    Pages: 1 Online-Ressource(X, 210 p. 73 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1146
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Towards Interval Type-3 Fuzzy Parameter Adaptation in Metaheuristics -- An Application of Controlled Sets in Medical Diagnosis -- Dynamic Adjustment of an Artificial Fish Swarm Algorithm using Shadowed Type-2 Fuzzy Logic for Enhancing Benchmark Function Optimization -- α-Interval Valued Fuzzy Sets and α-Interval Valued Fuzzy Subgroups -- Design of a Fuzzy PID controller for the balancing problem of a Quadruped Robot.
    Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
    DOI: 10.1007/978-3-031-53713-4
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  • 23
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    Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614750
    Language: English
    Pages: 1 Online-Ressource(XII, 513 p. 311 illus., 249 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Information Systems Engineering and Management 4
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1. Efficient Detection of Cyberbullying Social Media Platform -- Chapter 2. Securing Cyber-Physical Systems: A Strategic Review. Chapter 3. Advancing Solar Still Efficiency – Pioneering Sustainable Water Solutions -- Chapter 4. An in-Depth Investigation Into Automatic Dubbing leveraging ASR, Machine Translation and Deep Voice 3. Chapter 5. LEWRY Your Smart Home Security Robot -- Chapter 6. Ensemble based Attrition Prediction in Corporate Settings -- Chapter 7. Mitigating Agricultural Challenges: A Comprehensive Study on the Impact of Crop Diseases on Rice Production in India -- Chapter 8. Human Object Interaction: A Survey on Models and their Key Challenges and Potential Applications in Future Fields -- Chapter 9. Streamlining The Bone Fracture Detection using X- ray Imaging and Seamless PACS Data Exchange -- Chapter 10. A Review on Suitability of Vertical Federated Learning in Smart City Platforms -- Chapter 11. Land Cover Classification using Modified U-net : a Robust Approach for Satellite Image Analysis -- Chapter 12. Synergistic Evolution: Pioneering Frontiers of Artificial Intelligence and Robotics in Healthcare -- Chapter 13. Solar Panel Fault Analysis using Regression Models -- Chapter 14. Development of Fuzzy Controlled Five Level Modular Multilevel Converter for Grid Tied PV System -- Chapter 15. Multifaceted Chatbot: A Retrieval Augmented Generation Approach for Intelligent Website Query Handling -- Chapter 16. Intelligent Monitoring and Learning System for Electric Vehicle Charging Stations -- Chapter 17. A Global Three Wheeler Road Freight EV CARGO CART for Value Added Services -- Chapter 18. Android App-oriented Smart Supervision of Water Distribution using Internet of Things -- Chapter 19. Identification of Speech Stream and the Source Localization for Hearing Prosthesis-Driven Healthcare -- Chapter 20. Catalyzing Urban Logistics and Road Safety: Truck Recommendation System and Real-Time Accident Severity Prediction.-....etc.
    Abstract: This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
    DOI: 10.1007/978-3-031-61475-0
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  • 24
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    Current and Future Trends on Intelligent Technology Adoption : Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614637
    Language: English
    Pages: 1 Online-Ressource(IX, 387 p. 43 illus., 35 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1161
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Knowledge management. ; Artificial intelligence.
    Abstract: A Review of the Metaverse in Higher Education Opportunities Challenges and Future Research Agenda -- An Exploratory Study on the Dark Sides of Artificial Intelligence Adoption Privacys Invasion for Intelligent Marketing and Intelligent Services -- Bibliometric Analysis of Electric Vehicle Adoption and Environmental Sustainability Research 2014 to 2024 Trends and Implications -- Unlocking Digital Wallet Adoption Through UTAUT Model Unveiling the Factors Shaping Consumer Decisions -- Environmental Attitude Global Social Responsibility and Digital Literacy Predictors of Green Purchase Intentions among Emerging Adults -- Smart Home Technology Research Landscape A Bibliometric Analysis of Scientific Publications 2014 to 2024 -- Adoption of Artificial Intelligence in Education A Systematic Literature Review.
    Abstract: This book explores current and future trends in adopting intelligent technologies among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.
    DOI: 10.1007/978-3-031-61463-7
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  • 25
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    Computing Intelligence in Capital Market (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031577086
    Language: English
    Pages: 1 Online-Ressource(V, 65 p. 19 illus., 13 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1154
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Finance. ; Branding (Marketing).
    Abstract: -- 1. Estimating and Evaluation of International Capital Movements in The Perspective of Corporate Economic Geography. -- 2. Wave Net-TSRS Model for Timeseries Prediction in Finance. -- 3. Integrating Decision Analytics and Advanced Modeling in Financial and Economic Systems through Artificial Intelligence. -- 4. Co-movements between Bitcoin and Gold: Multivariate BEKK-GARCH Models. -- 5. An Approach for backtesting and algorithmic trading with liquidity and Hill Climbing algorithm. -- 6. Unleashing Economic Potential: Exploring the Synergy of Artificial Intelligence and Intelligent Automation.
    Abstract: The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.
    DOI: 10.1007/978-3-031-57708-6
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    Session-Based Recommender Systems Using Deep Learning (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031425592
    Language: English
    Pages: 1 Online-Ressource(XIX, 301 p. 99 illus., 71 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Information storage and retrieval systems. ; Artificial intelligence. ; Quantitative research.
    Abstract: 1. Introduction to Session-Based Recommender Systems -- 2. Deep Learning Overview -- 3. Deep Discriminative Session-Based Recommender Systems -- 4. Deep Generative Session-Based Recommender Systems -- 5. Hybrid/Advanced Session-Based Recommender Systems -- 6. Learning to Rank in Session-Based Recommender Systems.
    Abstract: This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary. This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.
    DOI: 10.1007/978-3-031-42559-2
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    Machine Learning Applications for Intelligent Energy Management : Invited Chapters from Experts on the Energy Field (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479090
    Language: English
    Pages: 1 Online-Ressource(XIV, 226 p. 110 illus., 107 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 35
    Parallel Title: Erscheint auch als Machine learning applications for intelligent energy management
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Electrical engineering. ; Artificial intelligence. ; Energy policy. ; Energy and state.
    Abstract: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.
    Abstract: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
    DOI: 10.1007/978-3-031-47909-0
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477157
    Language: English
    Pages: 1 Online-Ressource(XII, 873 p. 335 illus., 274 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 824
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47715-7
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    New Perspectives in Software Engineering (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031505904
    Language: English
    Pages: 1 Online-Ressource(XVII, 410 p. 136 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1135
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.
    DOI: 10.1007/978-3-031-50590-4
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS´2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031519826
    Language: English
    Pages: 1 Online-Ressource(XIV, 340 p. 180 illus., 154 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 870
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Industry -- Numerical study through CFD of the behavior of a centrifugal fan for dust extraction systems -- Optimization of the stamping process of oven sides panels for domestic cooking through finite element modeling -- Topological optimization of swing arm for electric motorcycles -- Micromechanical modeling of biobased sisal polylactic acid compounds -- A Proposal of a Fair Voting Ensemble Classifier Using Multi-Objective Optimization -- Physical-Chemical Characterization of Cocoa Oil Subjected to an Accelerated Fermentation Process -- Control system for a cacao drying process: case study cylindrical dryer -- Comparative study of multivariate statistical methods for predicting the academic performance of students at the University of Guayaquil -- Calculation of the efficiency of an electromagnetic coil according to the induction resistance of the pot -- Development of a Control System for a Biomechanical Prosthetic -- The Impact of Intranet Use on Internet Sales During COVID-19: A Study of Companies in Ecuador -- Embedded Systems for Tracking and Detection of Pets through an IoT Network -- Mobile Application for Online Procedures in the Municipality of San Miguel de Ibarra -- Assessment of decommissioning cost of proton therapy centers depending on the shielding material in the building process -- Vehicular Ad-Hoc Network (VANET) -- Part II: Infotelecom -- Use of leaderboards to gamified drive student performance as a motivational strategy in VLE environments -- Microlearning as a learning consolidation strategy for the university blended learning modality in a VLE -- Physical and Organoleptic Evaluation of 12 Cocoa Clones (Theobroma cacao L.) of National Type, in Cocoa Liquor – A Study from Ecuador -- External factors and socioeconomic influence on users acceptance of online payments -- Proposal of evaluation cases for the standardization of the validation activities of neutron unfolding codes -- Function and Management Emulation of CEDIA Backbone: The Ecuadorian Advanced Network Updated From IPv4 to IPv6 -- Implementation of an Intelligent Platform for Sustainable Urban Water Consumption Management: A Case Study of Digital Transformation in Zaruma City, Ecuador -- Governmental portal of the National Transit Agency of Ecuador: Web usability aspects and user satisfaction aimed at the elderly. -- Development of a Web Application for evaluating corporate social responsibility practices -- Performance evaluation of an internet-of-things platform based on open-source -- Development and evaluation of an intelligent chatbot for the management of citizen procedures in the GAD San Miguel de Ibarra -- Software for Speech Therapy Support Through PECS Oriented to Digital Learning Environments For Children With Moderate ASD -- Development of a Brain-Computer Interface to Control Finger Movements of a Robotic Hand -- Proposal of an Agile Approach based on Scrum for Managing Continuing Education Programs -- Development of a Compact Synchrotron Proton Therapy Center Model for Monte Carlo-Based Radiation Protection Studies.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-51982-6
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    Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability : AI for IoT and Health Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031527876
    Language: English
    Pages: 1 Online-Ressource(X, 191 p. 103 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 8
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical sciences. ; Biomedical engineering.
    Abstract: Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches -- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare -- CNN-Based Model for Skin Diseases Classification -- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter -- An IoT-based Telemedicine System for the Rural People of Bangladesh -- Comparison of Predicting Regional Mortalities Using Machine Learning Models -- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report -- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading -- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks -- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases -- Intelligent Information Systems in Healthcare sector: Review Study -- Design of a Blockchain-based Patient Record Tracking System -- IoT Networks and Online Image Processing in IMU-based Gait Analysis -- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application.
    Abstract: IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc. .
    DOI: 10.1007/978-3-031-52787-6
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579424
    Language: English
    Pages: 1 Online-Ressource(XXIX, 501 p. 186 illus., 151 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 204
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0 -- Fixed-parameter Tractability for Branchwidth of the Maximum-weight Edge-colored Subgraph Problem -- On Coverage in Multi-interface Networks with Bounded Pathwidth -- Sensitivity Analysis of Performability Model to Evaluate Pbft Systems -- Algorithmic Aspects of Distributing Energy Consumption in Multi-interface Networks -- Blockchain and Financial Services a Study of the Applications of Distributed Ledger Technology (Dlt) in Financial Services -- A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks -- Mathematical Modelling of Covid-19 Using Odes -- Analyzing Monitoring and Controlling Techniques for Water Optimization Used in Precision Irrigation.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57942-4
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    Software Engineering and Management: Theory and Application : Volume 16 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031551741
    Language: English
    Pages: 1 Online-Ressource(VI, 238 p. 103 illus., 78 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1137
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: 1. Changing Beauty Industry’s Strategic: Focused on Metaverse and Generation MZ -- 2. ESG news analysis using news big data: Focusing on topic modeling analysis -- 3. Effects of the Perceived Benefit and Innovativeness of Live Commerce on Intention to Use: Focus on Chinese consumers -- 4. A Study on the Effect of Customer Experience on the Intention to Continuously Use Coffee Store Mobile App based on UTAUT Model -- 5. A Study on Parallel Recommender System with Stream Data Using Stochastic Gradient Descent -- 6. Using Incremental Algorithm in Hybrid Recommender System Combined Sentiment Analysis -- 7. A Bottom-Up Generic Probabilistic Building and Enriching approach for knowledge graph using the LDA-based clustering method -- 8. Measuring the Effects of Signal-To-Noise in EEG Emotion Recognition -- 9. Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing -- 10. Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors, etc.
    Abstract: The book reports state of the art results in Software Engineering Research, Management & Applications in both printed and electronic form. SCI (Studies in Computation Intelligence) has grown into the most comprehensive computational intelligence research forum available in the world. This volume published original papers on both theory and practice that address foundations, state of the art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-55174-1
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522550
    Language: English
    Pages: 1 Online-Ressource(XIII, 354 p. 150 illus., 133 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 902
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Proposal design of an autonomous photovoltaic plant on potentially liquefiable soil in the isolated rural community of Agua Fría, Ecuador -- Seismic design considerations for the installation of photovoltaic systems on flat reinforced concrete roofs: A case study in Ecuador -- A brief guide to the implementation of lean tools in the Ecuadorian context -- Analytical study of the behavior of tubular elements reinforced with natural fibers under dynamic loads -- Landstorfer antenna structure shaping based on parameterized parallel curves -- Solving the generation and transmission capacity expansion planning framework modeling the AC power flow problem and incorporating reactive compensation devices -- Reconstruction of the boundary condition of the convection–diffusion–reaction equation with automatic selection of the step length -- Assessing carbon capture, transport, and storage processes: A critical review -- Antenna densification in non-uniform linear and planar arrays -- Greinacher rectifier evaluation for WiFi band energy harvesting -- Experimental measurement of potential energy in stairways with hydraulic damping systems -- Vulnerability characteristics of wetlands in the Guaranda wasteland, central Ecuador – Implications of long-term sustainability -- Climate variability and its effect on flood risk through dynamic modeling in the Quigushuaycu stream -- Network Neutrality policies in the 5G South American market -- Evaluation of the internal temperature and hours of thermal discomfort produced by sunshine: Study of a hot dry climate -- Review of biomass and biopolymers synthesized in Ecuador -- Solar energy conversion systems thermal management applying constructal theory: a comparative analysis -- Quantification of the decrease of droplets expelled from the human respiratory tract during expiratory activities when using masks -- Impacts of park-and-ride systems on vehicle emissions in intermediate cities -- Machine learning regressors in forecasting mechanical properties in advanced manufacturing processes -- Comparative evaluation of performance efficiency in terms of temporal behavior and resource utilization, according to the ISO/IEC 25010 model, in a web application developed with Angular, React.js, and Vue.js -- Prediction models of oral diseases: A systematic review of the literature -- How can personal knowledge graphs contribute to precision nutrition? -- Interactive e-Books in mathematics learning: A systematic mapping study.
    Abstract: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52255-0
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    Advances in Real-Time Intelligent Systems : Real-Time Intelligent Systems 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558481
    Language: English
    Pages: 1 Online-Ressource(VIII, 362 p. 157 illus., 134 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 950
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.
    DOI: 10.1007/978-3-031-55848-1
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    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563102
    Language: English
    Pages: 1 Online-Ressource(X, 280 p. 123 illus., 100 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 9
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines. .
    DOI: 10.1007/978-3-031-56310-2
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    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Language: English
    Pages: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 150
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Language: English
    Pages: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 149
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.
    Abstract: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
    DOI: 10.1007/978-3-031-55517-6
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    AI and Neuro-Degenerative Diseases : Insights and Solutions (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531484
    Language: English
    Pages: 1 Online-Ressource(VI, 181 p. 35 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1131
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: 1. Demystifying: The Role of Artificial Intelligence in Neurodegenerative Diseases -- 2. Role Of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases -- 3. Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases -- 4. Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative disorders: A Future Perspective -- 5. Amyotrophic Lateral Sclerosis (ALS) Monitoring using Explainable AI -- 6. Prevalence of Dementia in India -- 7. Exploring AI's Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles -- 8. Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges -- 9. Ethical considerations: Case Scenarios.
    Abstract: This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
    DOI: 10.1007/978-3-031-53148-4
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    Forthcoming Networks and Sustainability in the AIoT Era : Second International Conference FoNeS-AIoT 2024 - Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031628719
    Language: English
    Pages: 1 Online-Ressource(VIII, 458 p. 236 illus., 202 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1035
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Determining the Digits of Turkish Sign Languages Using Deep Learning Techniques -- Calculation of Bit Error Probability for Direct Sequence Spread Spectrum Communications with Multiple Access Interference of Rayleigh Distribution -- Designing and Simulation of Three Phase Grid Connected Photovoltaic System -- Security and Reliability Concerns of AI on Critical Embedded Systems -- A Survey of Machine Learning Assistance in Seismic Interpretation -- Enhancing Facial Recognition Accuracy and Efficiency Through Integrated CNN PCA and SVM Techniques -- Enhancing IoT Device Security A Comparative Analysis of Machine Learning Algorithms for Attack Detection -- Crime Prediction Using Machine Learning -- A Web based Disease Prediction System Using Machine Learning Algorithms and PCA -- Smart Cities Sustainable Paths Energy Harvesting and Mobility Solutions for Tomorrows Urban Landscapes.
    Abstract: This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
    DOI: 10.1007/978-3-031-62871-9
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    Forthcoming Networks and Sustainability in the AIoT Era : Second International Conference FoNeS-AIoT 2024 - Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031628818
    Language: English
    Pages: 1 Online-Ressource(VIII, 424 p. 212 illus., 173 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1036
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Analyzing the Economic Viability and Design of Solar Powered Water Pumps for Farming Irrigation Case Study Conducted in Somalia -- Evaluation of No load Losses in the Single sheet Double sheet and Triple sheet Step Lap Joints of the Transformer Core -- Modeling and Simulation of a Hybrid Electrical Grid for Reliability and Power Quality Enchantment -- Lane Segmentation and Turn Prediction Using CNN and SVM Approach -- Internet of Things Data Privacy And Security Based On Blockchain Technology -- Enhancing Biogeographical Ancestry Prediction with Deep Learning A Long Short Term Memory Approach -- Stacking Ensemble for Pill Image Classification.
    Abstract: This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.
    DOI: 10.1007/978-3-031-62881-8
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    Systems, Smart Technologies and Innovation for Society : Proceedings of CITIS’2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031520907
    Language: English
    Pages: 1 Online-Ressource(XIV, 328 p. 164 illus., 145 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 871
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Part I: Mobility -- Low-Cost Robotic System of Detection of Anti-Personal Metal Mines -- Life cycle assessment of the Polyethylene Terephthalate (PET) waste bottles recycling process of a local industry in Guayaquil -- Flood risk analysis in an Andean watershed by integrating satellite data and multicriteria analysis. -- Assessing the Growth of Electric and Hybrid Vehicles in Ecuador’s Transportation Sector: A Technical Analysis of Their Impact on the Energy Matrix -- Evaluation of urban freight distribution in a medium-sized city: Ecuadorian case study -- Assessing the Performance of Electric Bicycles for Active Commuting in Higher Education: A Case Study of the UPS Cuenca Campus -- Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato -- A Systematic Literature Review of Tire Management in Ecuador -- Analysis of Cycle Gait on Different Surfaces using Inertial Sensors -- Data analysis applied to driver profile data obtained through vehicle telemetry and classification algorithms -- Development of an LSTM-based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador -- Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity -- English language teaching through the use of immersive environments supported by virtual reality -- Design and Implementation of Photovoltaic Energy Storage Systems Based on Batteries of Hybrid cars using a Second- Life Method -- Bibliometric review on a hybrid learning model with VLEs from a higher education context -- Part II: Sustainability and environment -- Simulation of the Flow behavior in the storage tank of a Hydropower using OpenFOAM -- Exploring the norm activation model together with external influences and environmental moral values: The case of Guayaquil, Ecuador -- Methodological application proposal for energy-electrical evaluation of National Polytechnic School in the context of a sustainable campus -- Louver of coconut fiber and sawdust bonded epoxy resin -- Design Of A Solar Photovoltaic Led System For Outdoor Illumination -- Treatment Of Liquid Effluents From Post-Harvest Flowers Through Advanced Oxidation -- Simulation of Synchronized Controls in Circuit Breakers of Power Transformers and Operation of Reactive Compensation Banks -- Spatial modeling of dissolved oxygen in wastewater from the Quebrada ¨Ortega ¨ of the Quito canton, Pichincha province -- Feasibility analysis of a photovoltaic power generation system using different charge controllers -- Analysis of Aluminum Can Management in Ecuador -- Impact of hydroponic green fodder: A comparative study on the quality of fresh cheese -- Intelligent Monitoring System for fry rearing using Fuzzy Logic -- Automatic classification of squat execution based on inertial sensors and machine learning -- Marine Predator Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization -- Foot Pathology Analyzer.
    Abstract: This book is dedicated to exploring the practical applications and future perspectives of intelligent technologies. It delves into various domains, including industry, mobility, telecommunications, and environmental considerations. The innovative nature of this text enables us to draw connections between technical advancements and experiences aimed at enhancing the integration of emerging technologies on local, national, and regional scales. It showcases the strides made in diverse engineering domains, underlining the book’s multidisciplinary appeal. This book is intended for a wide readership, catering to master's and doctoral students, professors, and researchers in the field of cutting-edge technologies. It also extends its relevance to businesses engaged in engineering development. The contents offer insights into novel methodologies, real-world case studies, and innovative techniques designed to optimize systems, ultimately contributing to societal progress.
    DOI: 10.1007/978-3-031-52090-7
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    Artificial Intelligence, Data Science and Applications : ICAISE’2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031484650
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 256 illus., 202 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 837
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence.
    Abstract: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
    DOI: 10.1007/978-3-031-48465-0
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    Proceedings of ELM 2022 : Theory, Algorithms and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031550560
    Language: English
    Pages: 1 Online-Ressource(V, 81 p. 32 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Proceedings in Adaptation, Learning and Optimization 18
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Application of ELM model to the motion detection of vehicles under moving background -- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark -- Does streaming affect video game popularity? -- Massive Offline Signature Forgery Detection with Extreme Learning Machines -- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification.
    Abstract: This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).
    DOI: 10.1007/978-3-031-55056-0
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    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563225
    Language: English
    Pages: 1 Online-Ressource(X, 306 p. 99 illus., 73 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 10
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
    DOI: 10.1007/978-3-031-56322-5
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    Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 – Workshop on Computational Optimization (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031573200
    Language: English
    Pages: 1 Online-Ressource(X, 315 p. 86 illus., 60 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1158
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Algorithms.
    Abstract: 1. Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 2. Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 3. Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 4. Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 5. Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 6. Application of Methaeuristics for Agricultural System Modelling -- 7. Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 8. Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 9. Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 10. Surrogate Estimators for Complex Bi-Level Energy Management, etc.
    Abstract: The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
    DOI: 10.1007/978-3-031-57320-0
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    Machine Learning for Cyber Physical System: Advances and Challenges (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540387
    Language: English
    Pages: 1 Online-Ressource(XVI, 406 p. 148 illus., 109 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 60
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Machine learning. ; Artificial intelligence.
    Abstract: SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection -- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations -- Unsupervised approaches in anomaly detection -- Profiling and Classification of IoT Devices for Smart Home Environments -- Application of Machine Learning to Improve Safety in the Wind Industry -- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning -- Unraveling what is at stake in the intelligence of autonomous cars -- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities -- Application of Deep Learning in Medical Cyber-Physical Systems -- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning -- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges -- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration -- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning -- Current datasets and their inherent challenges for Automatic Vehicle Classification.
    Abstract: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. .
    DOI: 10.1007/978-3-031-54038-7
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    Intelligent Systems and Applications : Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031477249
    Language: English
    Pages: 1 Online-Ressource(XII, 879 p. 380 illus., 339 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 823
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings. This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.
    DOI: 10.1007/978-3-031-47724-9
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    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication : MDCWC 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031479427
    Language: English
    Pages: 1 Online-Ressource(XXIII, 631 p. 340 illus., 252 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Part 1: Machine Learning, Deep Learning and Computational Intelligence -- Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition -- Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech -- Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases -- Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection -- Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining -- Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction -- Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing -- Chapter 8. ATCBBC: A novel optimizer for neural network Architectures -- Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion -- Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency -- Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter -- Part 2: Wireless Communication -- Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies -- Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture -- Chapter 14. Packet Classification Using Improved Random Forest Algorithm -- Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN) -- Chapter 16. Blockchain and IPFS based solution for KYC -- Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors -- Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks -- Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms -- Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters -- Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications -- Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space -- Part 3: Mobile data application -- Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques -- Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT -- Chapter 25. Traffic Light Simulation Using ALP -- Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images -- Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks -- Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach -- Chapter 29. Cyberbullying Detection Using BILSTM Model -- Chapter 30. Smart Agriculture using Internet of Things -- Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm -- Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network -- Chapter 33. Malaria Parasite Detection Using Deep Learning -- Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images -- Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR) -- Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique -- Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection -- Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study -- Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing -- Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model -- Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms -- Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review -- Chapter 43. Feature Selection based Machine Learning Model for Malware Detection -- Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases -- Chapter 45. Damage Detection on Historical Structure using Image Processing -- Chapter 46. Eye Disease Classification Using VGG-19 Architecture -- Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python -- Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System -- Chapter 49. An Effective Machine Learning-based Malware Detection Approach -- Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features -- Chapter 51. Chess Game using Assembly Language Programming -- Chapter 52. Deep Artificial neural Network for Software Effort Estimation -- Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
    Abstract: This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. Presents research works in various fields of computational intelligence and machine learning; Discusses results of MDCWC 2023 held at National Institute of Technology Tiruchirappalli, India; Serves as a reference for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-3-031-47942-7
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    Networking and Parallel/Distributed Computing Systems : Volume 18 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031532740
    Language: English
    Pages: 1 Online-Ressource(X, 226 p. 113 illus., 91 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1125
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal -- Employee Management Support Application for Operation Managers and Its Security -- Text-based Data Analysis for Mental Health Using Explainable AI and Deep Learning -- Using the Internet of Things and Machine Learning to Monitor and Detect COVID-19 -- Comparison between the Route Using Improved Detours and Shortest Route on Distributed Key Value Store Based on Order Preserving Linear Hashing and Skip Graph -- Extraction Study of Leaf Area and Plant Height of Radish Seedlings Based on SAM -- A Scalable Middleware for IoT Vulnerability Detection -- Predicting Oil Spills in Real-Time: A Machine Learning and AIS Data-Driven Approach -- Data-driven OCL Invariant Patterns-based Process Model Exploration for Process Mining -- An Analysis of Program Comprehension Process by Eye Movement Mapping to Syntax Trees -- Self-supervised Monocular Depth Estimation and Ego-motion Made Better: A Masking Constraints -- Using Additional Sets of Random Data to Assess Possible Dissaving Risk against Life Expectancy for Elderly People -- A Study on the NFT and Blockchain Technology for Copyright Management -- The Effect of Enterprise Risk Management System on Risk Management Capability and Management Performance -- A Study on the Effect of Omnichannel Customers Acceptance Attitudes and Loyalty: Focusing on UTAUT2.
    Abstract: The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form. This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53274-0
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    Emerging Research in Intelligent Systems : Proceedings of the CIT 2023 Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522581
    Language: English
    Pages: 1 Online-Ressource(XIV, 368 p. 82 illus., 70 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 903
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: Comparative study of abrasion resistance in cotton and meta-aramid fabrics for the production of safety garments -- Cybersecurity and cyber defense in the light of new technologies in cyberspace -- NATO/USAF standards in the FAC (by its Spanish acronym), building interoperability from the basic flight schools -- Human capital and per capita income in Ecuador -- Effect of the real wage on the basic family basket in Ecuador -- Evaluation of technical efficiency in segment one of the savings and credit cooperatives in Ecuador for 2016-2021 -- Measurement of innovation capacity in small and medium manufacturing companies -- The adhocracy culture and its impact on innovation in manufacturing companies of the Quito Metropolitan District -- Adjustable polycentric mechanism for external knee joint prosthesis based on the instantaneous center of rotation -- Manufacture of a custom-made AFO orthosis based on abaca nonwoven composite (Musa textilis) and resin -- Application of multicomponent nanoparticles synthesized with Andean blackberry fruit extract (Rubus glaucus) NPs (Ca, Fe, Mg-Rg) for oyster mushrooms (Pleurotus ostreatus) -- Characterization of a bamboo cellulose-activated carbon filament and resin -- Phytoremediation of pharmaceutical mixtures using Chrysopogon zizanioides: A sustainable alternative for removing emerging contaminants from wastewater -- Strength and elongation analysis of a coconut fiber-based nonwoven with potential applications for geotextiles -- Burnout syndrome and its relationship to working schedule: A cross-sectional study among oilfield workers in the Ecuadorian Amazon region -- ECRIF as a strategy to boost EFL students' speaking skills: An exploratory action research approach -- Attitude levels towards multicultural education in primary school teachers from north Lima (Peru) -- Implications of stakeholders on the quality and governance of university higher education: a critical analysis -- School motivation and academic performance in mathematics in primary school students from Pachacamac (Lima, Peru) -- Burnout syndrome in physicians of the surgical hospitalization area of a second-level hospital in the city of Guayaquil -- Evaluating the profiles of preprofessional internships of two University programs in early childhood end elementary education -- The community as a strategy for crime prevention: The experience of “Soñarte” socio-cultural project -- News coverage on the social network Facebook: a systematic review in Scopus from 2018 to 2023 -- Predictors of academic satisfaction through activities with Turnitin -- Effect of the application of pedagogical tools for ethics training in the public accounting program of the Corporación Universitaria Minuto de Dios distance modality -- The mediating effect of academic performance on ChatGPT satisfaction in university students.
    Abstract: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .
    DOI: 10.1007/978-3-031-52258-1
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578403
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 452 p. 270 illus., 228 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 199
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks -- Improved UCB MAB-Based Algorithm for Relay Selection in Cooperative Narrowband PLC Communication -- Mutual-Visibility in Fibonacci Cubes -- Evaluation of the Trust Zone Model with the Information Flow Control -- PRVC: A Novel Vehicular Ad-hoc Network Caching based on Pre-trained Reinforcement Learning -- ElasticWISP-NG: Towards Dynamic Resource Provisioning for WISP Access Networks -- BBR-R: Improving BBR's RTT Fairness by Dynamically Adjusting Delay Detection Intervals -- Reducing Signaling Overhead in 5G Mobile Network for IoT Device Mobility -- On Network Design and Planning 2.0 for Optical-computing-enabled Networks -- DEAR: DRL Empowered Actor-critic ScheduleR for Multipath QUIC Under 5G/B5G hybrid networks -- Integrated Vehicle Access Protocol with Priority-Based Messaging for VANETs -- Adaptive Cost-Reward Scheduling for Optimizing Radio Utilization and Frequency Numerology Efficiency in B5G New Radio Networking -- Speed Control for Autonomous Vehicular Platoon -- A Comparison Study of a Fuzzy-based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks -- A Distributed Approach for Autonomous Landmine Detection Using Multi-UAVs.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57840-3
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    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031563881
    Language: English
    Pages: 1 Online-Ressource(Approx. 215 p.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1153
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.
    Abstract: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-56388-1
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    Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031614712
    Language: English
    Pages: 1 Online-Ressource(XII, 531 p. 273 illus., 205 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Information Systems Engineering and Management 3
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1. A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction -- Chapter 2. A Comparative Overview of Deep Learning Aided Image Generation. Chapter 3. Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach -- Chapter 4. A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems -- Chapter 5. Predictive Modelling of Cardiac Disease: Enhancing Accuracy through Machine Learning Algorithms and Borderline-SMOTE Technique -- Chapter 6. An AI-Driven Model for Decision Support Systems -- Chapter 7. Exploring Music Genres through Facial Emotions: Intelligent Data Processing and Machine Learning -- Chapter 8. Optimizing Cloud Task Scheduling through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means -- Chapter 9. Cirrhosis Patient Survival Prediction Analysis using Ml Algorithms -- Chapter 10. Learnable Discrete Wavelet(LDW) Pooling in CNN for Multidisciplinary Disease Prediction in Healthcare -- Chapter 11. Autonomous Human Computer Interaction System in Windows Environment using YOLO and LLM -- Chapter 12. Deep Learning based Animal Intrusion Detection System -- Chapter 13. Sustainable Crop Monitoring and Management for Enhanced Agricultural Productivity through IoT, AI & ML: Case Studies and Innovations -- Chapter 14. Design of an Auto Evaluation Model for Subjective Answers using Natural Language Processing and Machine Learning Techniques -- Chapter 15. Navigating the Radiological Landscape: A Cutting-Edge Hybrid VGG16-EfficientNet Model for Improved CT Scan Interpretation -- Chapter 16. Optimized Scene Text Detector and Paddle Optical Character Recognizer Techniques to Extract Text from Images -- Chapter 17. A Cost-Sensitive Sparse Auto-Encoder based Feature Extraction for Network Traffic Classification using CNN.-....etc.
    Abstract: This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
    DOI: 10.1007/978-3-031-61471-2
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    Explainable Artificial Intelligence in the Digital Sustainability Administration : Proceedings of the 2nd International Conference on Explainable Artificial Intelligence in the Digital Sustainability Administration (AIRDS 2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031637179
    Language: English
    Pages: 1 Online-Ressource(XIII, 390 p. 96 illus., 82 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1033
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: -- 1. Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions. -- 2. Applying robotic process automation (RPA) in sustainable audit quality: A literature review survey. -- 3. Advancing sustainable learning by boosting student self-regulated learning and feedback through AI-driven personalized in EFL education. -- 4. Enabling sustainable learning through virtual robotics machine mediation of social interactions between teachers, students, and machines based on sociology lens. -- 5. The role of Artificial Intelligence in improving customer service and retaining human resources: Digital Sustainability as a Mediating variable. -- 6. Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods. -- 7. The role of AI applications in the advertising and design in social media marketing: A stride in the direction of marketing sustainability. -- 8. Artificial Intelligence and Environmental, Social and Governance: A Bibliometric Analysis Review. -- 9. The Mediating Influence of Energy Reduction on the Relationship Between Green Production and Digital Sustainability: Insights from Iraqi Oil Companies. -- 10. Exploring University Faculty Members ' Sustainable Innovative Behavior of Work with Artificial Intelligence: A Review of the Literature. -- 11. Exploring Customer Engagement Intentions with Interactive Smart Tables of AI for Full-Service Restaurants Sustainability. -- 12. The role of artificial intelligence trading robots in rationalizing cryptocurrency trading decisions by application to Bitcoin currency. -- 13. The effect of detecting earnings management according to artificial intelligence techniques on the sustainable accounting information. -- 14. Financing and Investing in Artificial Intelligence: The Lucrative Benefits in Terms of Sustainable Digitalization. -- 15. Sustaining an agile supply chain by adopting industry technologies (4.0). -- 16. The investment of human capital in digital green economy transition to support artificial intelligence technologies at private hospitals. -- 17. Interpretive structural modeling (ISM) as an artificial intelligence system for improving sustainable performance. -- 18. The Role of Artificial Intelligence in Promoting the Environmental, Social and Governance (ESG) Practices. -- 19. Harnessing Technological Innovation and Artificial Intelligence in Iraqi Commercial Banks to Achieve Sustainability. -- 20. Artificial intelligence and trends using in sustainability audit: A Bibliometric Analysis. -- 21. Using artificial intelligence to predict the financial gearing's capability to achieve financial sustainability. -- 22. Towards digital sustainability: Integrating canonical correlation with artificial neural network. -- 23. Artificial intelligence simulation of ant colony and decision tree in terms sustainability. -- 24. The Role of Artificial intelligence in Improving Sustainable Audit Quality. -- 25. Maximizing the marketing capabilities and digital sustainability of B2B & B2C platforms using artificial intelligence. -- 26. Using LSTM Network based on Logistic Regression Model for Classifying Solar radiation Time Series.
    Abstract: This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.
    DOI: 10.1007/978-3-031-63717-9
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    Advanced Techniques of Artificial Intelligence in IT Security Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031538544
    Language: English
    Pages: 1 Online-Ressource(V, 91 p. 38 illus., 35 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 146
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.
    Abstract: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
    DOI: 10.1007/978-3-031-53854-4
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    Advances in Computational Intelligence Systems : Contributions Presented at the 21st UK Workshop on Computational Intelligence, September 7-9, 2022, Sheffield, UK (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555688
    Language: English
    Pages: 1 Online-Ressource(XI, 591 p. 194 illus., 141 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1454
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: The scope of this book is to present the papers included at the 21st UK Workshop on Computational Intelligence (UKCI 2022), hosted by The University of Sheffield, between 7 and 9 September 2022, Sheffield, UK. This marks the first fully in-person UKCI conference, following the pandemic, a testament to the success and resilience of the UKCI community, as well as to the importance of computational intelligence (CI) research. The papers in this book are divided into five sections: fuzzy logic systems, machine learning, hybrid methods and network systems, deep learning and neural networks, and optimization and search.
    DOI: 10.1007/978-3-031-55568-8
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031579318
    Language: English
    Pages: 1 Online-Ressource(XXIX, 513 p. 198 illus., 160 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 203
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.
    Abstract: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications, different kinds of networks need to collaborate and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57931-8
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031578533
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 489 p. 177 illus., 124 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 200
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: A Method for Estimating the Number of Diseases in Computed Tomography Reports of the Japanese Medical Image Database (J-MID): Variations among Facilities -- Enabling Dynamic Vulnerability Assessment for Multi-web Application Using Executable Directed Acyclic Graph -- Discovery of RESTful Web Services Based on the Openapi 3.0 Standard with Semantic Annotations -- Perfresolv: A Geo-distributed Approach for Performance Analysis of Public Dns Resolvers Based on Domain Popularity -- Dars: Empowering Trust in Blockchain-based Real-world Applications with a Decentralized Anonymous Reputation System -- An Empirical Comparison of Outlier Detection Methods for Identifying Grey-sheep Users in Recommender Systems -- Adaptive Consensus: Enhancing Robustness in Dynamic Environments -- Cottontrust: Reliability and Traceability in Cotton Supply Chain Using Self-sovereign Identity -- Interoperability Between Evm-based Blockchains -- Stand-up Indulgent Gathering on Lines for Myopic Luminous Robots -- Iot Identity Management Systems: The State-of-the-art, Challenges and a Novel Architecture -- Starm: Streaming Association Rules Mining in High-dimensional Data -- Regulation Compliance System for Iot Environments: Gdpr Compliance as a Use-case -- Two-dimensional Models of Markov Processes for System Availability -- Enabling Ai in Agriculture 4.: A Blockchain-based Mobile Crowdsensing Architecture.
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
    DOI: 10.1007/978-3-031-57853-3
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    System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX. July 1–5, 2024, Brunów, Poland (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031618574
    Language: English
    Pages: 1 Online-Ressource(XIV, 362 p. 124 illus., 93 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1026
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Dynamics. ; Nonlinear theories. ; Artificial intelligence.
    Abstract: Chapter 1. Large language models for data extraction in slot-filling tasks -- Chapter 2. Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof -- Chapter 3. Survival Signature for Reliability Quantificationof Large Systems and Networks -- Chapter 4. Using Resizing Layer in U-net to Improve Memory Efficiency -- Chapter 5. Multiprocessor task scheduling with probabilistic task duration -- Chapter 6. On-line scheduling multiprocessor tasks in the non-predictive environment -- Chapter 7. Solving a Vehicle Routing Problem for a real-life parcel locker-based delivery -- Chapter 8. Hammering test for tile wall using AI -- Chapter 9. Models of Resilient Systems with Online Verification Considering Changing Requirements and Latent Failures -- Chapter 10. Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games -- Chapter 11. Preliminary Study on the Detection of Subtle Variations in Image Sequences for Identifying False Starts in Speedway Racing -- Chapter 12. Bibliometric Analysis of the Application of Artificial Intelligence in Renewable Energy Sources: Trends -- Chapter 13. Impact of the statistics of the learning data on the performance of a recommendation system based on MovieLens data -- Chapter 14. Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification -- Chapter 15. Wireless employee safety monitoring system with measurement of biomedical parameters -- Chapter 16. Artificial Intelligence Methods for Pet Emotions Recognition -- Chapter 17. Parallel Swarm Intelligence: Efficiency Studywith Fast Range Search in Euclidean Space -- Chapter 18. Digital Transformation Impacts on Industry 4.0 Evolution -- Chapter 19. Optimization of procurement strategy supportedby simulated annealing and genetic algorithm -- Chapter 20. Tumor volume measurements in animal experiments: current approaches and their limitations -- ....etc.
    Abstract: This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks. The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.
    DOI: 10.1007/978-3-031-61857-4
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    Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465499
    Language: English
    Pages: 1 Online-Ressource(XX, 503 p. 280 illus., 258 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1126
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.
    Abstract: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .
    DOI: 10.1007/978-3-031-46549-9
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    Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031560156
    Language: English
    Pages: 1 Online-Ressource(XIII, 441 p. 39 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1151
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: The Impact of Strategic Agility on Competitive Capabilities: A Field Study of Tourism Companies in Amman, Jordan -- Impact of Viral Marketing on Customer Purchasing Intention of Fashion Industry in Jordan -- The Impact of Hospitals' Commitment to Social Responsibility on Perceived Medical Service Quality: An Empirical Study on a Sample of Private Hospital Patients in Amman, Jordan -- Impact of Sustainability Disclosure on Investment Decision-Making: Evidence from Emerging Economies -- The Conflict between Compulsory Execution and Termination of Publishing Contract According to the Au-thor's Moral Right -- Industry 4.0 Era: The Role of Robotic Process Automation in Internal Auditing Quality of Banking Sector in Jordan -- Transparency and Disclosure Issues in the Corporate Governance System in Developing Countries, Jordan Case Study: Previous Studies -- Mobile Payment and Digital Financial Inclusion: A Study in Jordanian Banking Sector Using Unified Theory of Acceptance and Use of Technology.-Exploring Jacques Lacan's Concept of the Unconscious and the Real -- Flexible Work System in the Jordanian Legislation: A Comparative Study -- The impact of the application of cyber accounting on achieving strategic objectives in banks listed on the Amman Stock Exchange -- The Pragmatic Function of Press Discourse Markers in French language -- Theoretical Perspective of Artificial Intelligence in Digital Marketing for Business Organizations -- Characteristics of Electronic Word of Mouth and its Impact on Patient’s Decision to Select Treatment Desti-nation. A Case of Jordan -- The Impact of International Environmental Conferences and Agreements on Environmental Protection in Jordanian Law -- The Role of the Media in Educating Governments and Societies about the Impact of Disasters -- Understanding the Effectiveness of Digital Media Marketing on Sports Brand Loyalty: A Review -- The Impact of Social Responsibility Dimensions on Achieving the Competitive Advantage of the Pharmaceutical Sector. A Case of Jordan -- Quality of Electronic Services and its Role in Developing the Performance of Employees: A Case Study of the National Aid Fund -- Attitudes of Students Towards Press Coverage of E-Learning: An Empirical Study -- Disarmament, Demobilization and Reintegration (DDR) Program -- The Impact of Applying the Internal Control System According to the (COSO) Framework on the Profitability Indicators of Industrial Companies Listed on the Amman Stock Exchange -- The Impact of Electronic Sales Promotion Tools on Consumers’ Purchasing Behavior Decision towards Consumable Goods. A Case of Jordan -- Special Mens Rea in the Crime of Theft in the Jordanian Criminal Legislation -- The Impact of Artificial Intelligence on Talent Acquisition Strategies in Jordanian Technology Startups -- The Effects of Training and Development on Achieving Institutional Excellence of Pharmaceutical Company in Jordan -- The impact of big data analytics capabilities on decision making at the telecommunications sector in Jordan -- The History and Concept of Modernism -- The Impact of Influencer Marketing on Brand Perception: A Study of Jordanian Customers Influenced on Social Media Platforms -- The Impact of the Balfour Declaration and the British Mandate on the Loss of Palestine (1917-1948) -- The Impact of Implementing Disruptive Technology on Organizational Change: A Field Study in Private Universities in Jordan -- The Social Responsibility and its Impact on the Patients Satisfaction Empirical Study on the Beneficiaries of Services of Zarqa Governmental Hospital in Jordan -- The Impact of Relationship Marketing on the Customer Loyalty -- Analysis of the impact of OCFM on PI in ICLASE.
    Abstract: This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.
    DOI: 10.1007/978-3-031-56015-6
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    Data-Centric Business and Applications : Advancements in Information and Knowledge Management, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031591310
    Language: English
    Pages: 1 Online-Ressource(X, 441 p. 106 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 208
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Business information services. ; Artificial intelligence.
    Abstract: Hydrogen Project Execution Plan for domestic use -- Exploring Different Approaches to Epidemic Processes Simulation: Compartmental, Machine Learning, and Agent-Based Models -- Enhancing a learning management system's effectiveness through NEP-compliant curriculum changes and their effects at HEIs -- Analysis of Modern Approaches to the Transformation of Social Systems in Postmodern Society -- Reputation of a non-profit organisation - A quantitative-empirical study embedded in risk management on police reputation and reputation loss -- The role of information and communication technology in the social and healthcare services co-production -- Trade Unions of Eastern Galicia During The Socio-Political Processes of the 19th – Early 20th Centuries -- Image Processing Application Development: A New Approach and its Economic Profitability -- Sustainable Supply Chain of both Organic and Non-Organic Food Under Uncertainty -- Time series forecasting for Personal Protective Equipment during COVID-19 pandemic: a case study of Quebec -- Cultural Heritage Management: A Review of the Literature -- From Destruction to Digitization: Safeguarding Ukraine's Cultural and Archival Heritage in Wartime -- Machine Learning for Predicting Stroke Occurrences Using Imbalanced Data -- State Aid – Economic Instrument to Support SME -- Identification of Determinants of Using Crowdfunding as a Source of Financing the Development of Social Enterprises - The Perspective of Polish Social Entrepreneurs -- The Slovak organic food market: development of organic agricultural area, organic agricultural production and sales of packaged organic food -- A survey of Crowdsourcing in Last-Mile Delivery in the optimization literature -- Influence of the State on Cross-Border Trade Management in Commercial Global Digitalization -- Forecast modelling of socio-economic development under social and economic transformations.
    Abstract: This book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today's rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data.
    DOI: 10.1007/978-3-031-59131-0
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    Innovation and Research – Smart Technologies & Systems : Proceedings of the CI3 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634345
    Language: English
    Pages: 1 Online-Ressource(XV, 312 p. 173 illus., 151 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1040
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: This book gathers research papers presented at the 4th edition of the International Research and Innovation Conference—CI3 2023, that took place from August 30 to September 1, 2023, at the facilities of the Instituto Tecnológico Universitario Rumiñahui, located in the city of SangolquÍ, Pichincha, Ecuador.The conference was organized by the Red de Investigación, Innovación y Transferencia de Tecnología—RIT2, made up of the most relevant university institutes in Ecuador, among which are ITCA, BOLIVARIANO, ARGOS, VIDA NUEVA, ESPÍRITU SANTO, SUDAMERICANO, ISMAC, SAN ISIDRO, ARTES GRÁFICAS, ORIENTE, HUMANE, SUCRE, CENTRAL TÉCNICO, POLICÍA NACIONAL and RUMIÑAHUI. Additionally, the event is sponsored by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación—SENESCYT, Labortorio de Comunicación Visual de la Universidad Estatal de Campinas—Brazil, Universidad Ana G. Méndez—Puerto Rico, Centro de Investigaciones Psicopedagógicas y Sociológicas—Cuba, Instituto Superior de Diseño de la Universidad de La Habana—Cuba, GDEON and the Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia—CEDIA.The main objective of CI3 2023 is to generate a space for dissemination and collaboration, where academia, industry and government can share their ideas, experiences and results of their projects and research. “Research as a pillar of higher education and business improvement” is the motto of the Conference and suggests how research, innovation and academia must coincide with the productive sector to leverage social and economic development. CI3 2023 had 145 papers submitted, of which 52 were accepted for publication and presentation. To guarantee the quality of the publications, the event has a staff of more than 70 experts, from different countries such as Spain, Argentina, Chile, Mexico, Peru, Brazil, Ecuador, among others, who carry out an exhaustive review of each proposal sent. The content of this proceeding is related to the following topics: • Smart Cities • Innovation and Development • Applied Technologies • Economics and Management • ICT for Educations .
    DOI: 10.1007/978-3-031-63434-5
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    Communication in the Metaverse (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634857
    Language: English
    Pages: 1 Online-Ressource(XII, 196 p. 1 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Virtual reality. ; Augmented reality. ; Artificial intelligence.
    Abstract: Introduction -- What Is the Metaverse -- Communication in the Metaverse -- Social Construction and Self-Presentation -- Nonverbal Communication in the Metaverse -- Interaction, Collaboration, and Training in the Workplace -- Education in the Metaverse -- Deception in the Metaverse -- Other Problems: Privacy Concerns, Surveillance, and Hate Speech -- Discussion and Future Directions -- Conclusion.
    Abstract: This book explores the diverse methods and facets of communication in the metaverse, from interpersonal relationships to health communication, and from collaboration in the workplace to social interaction in educational contexts. More specifically, the book analyses the profound interplay between the metaverse and the larger communicative context in which it is entrenched. In this manner, the work concentrates on the factors underlying its origins, development, actualization, and popularity, as well as the fundamental discords, uncertainties, and dangers that can have serious consequences on both society and the individual. Explores diverse methods of communication in the metaverse, from interpersonal relationships to health communication; Analyses the interplay between the metaverse and the larger communicative context in which it is entrenched; Concentrates on the metaverse’s popularity and potential as well as the discords and dangers it presents.
    DOI: 10.1007/978-3-031-63485-7
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    Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031630538
    Language: English
    Pages: 1 Online-Ressource(XV, 297 p. 83 illus., 39 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1163
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: -- 1. Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Calibration Using metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?.
    Abstract: This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.
    DOI: 10.1007/978-3-031-63053-8
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    Intelligent Secure Trustable Things (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540493
    Language: English
    Pages: 1 Online-Ressource(XIX, 441 p. 212 illus., 192 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1147
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Cooperating objects (Computer systems).
    Abstract: Introduction -- Technology Development -- Industrial Applications.
    Abstract: This open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports and the health sector shows their applicability on both high and broad level, going from citizens to European stakeholders. The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
    Note: Open Access
    DOI: 10.1007/978-3-031-54049-3
    URL: kostenfrei
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    Innovation and Research – Smart Technologies & Systems : Proceedings of the CI3 2023, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031634376
    Language: English
    Pages: 1 Online-Ressource(XVI, 380 p. 167 illus., 149 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1041
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: This book gathers research papers presented at the 4th edition of the International Research and Innovation Conference—CI3 2023, that took place from August 30 to September 1, 2023, at the facilities of the Instituto Tecnológico Universitario Rumiñahui, located in the city of SangolquÍ, Pichincha, Ecuador.The conference was organized by the Red de Investigación, Innovación y Transferencia de Tecnología—RIT2, made up of the most relevant university institutes in Ecuador, among which are ITCA, BOLIVARIANO, ARGOS, VIDA NUEVA, ESPÍRITU SANTO, SUDAMERICANO, ISMAC, SAN ISIDRO, ARTES GRÁFICAS, ORIENTE, HUMANE, SUCRE, CENTRAL TÉCNICO, POLICÍA NACIONAL and RUMIÑAHUI. Additionally, the event is sponsored by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación—SENESCYT, Labortorio de Comunicación Visual de la Universidad Estatal de Campinas—Brazil, Universidad Ana G. Méndez—Puerto Rico, Centro de Investigaciones Psicopedagógicas y Sociológicas—Cuba, Instituto Superior de Diseño de la Universidad de La Habana—Cuba, GDEON and the Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia—CEDIA.The main objective of CI3 2023 is to generate a space for dissemination and collaboration, where academia, industry and government can share their ideas, experiences and results of their projects and research. “Research as a pillar of higher education and business improvement” is the motto of the Conference and suggests how research, innovation and academia must coincide with the productive sector to leverage social and economic development. CI3 2023 had 145 papers submitted, of which 52 were accepted for publication and presentation. To guarantee the quality of the publications, the event has a staff of more than 70 experts, from different countries such as Spain, Argentina, Chile, Mexico, Peru, Brazil, Ecuador, among others, who carry out an exhaustive review of each proposal sent. The content of this proceeding is related to the following topics: • Smart Cities • Innovation and Development • Applied Technologies • Economics and Management • ICT for Educations .
    DOI: 10.1007/978-3-031-63437-6
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    Sustainability and Global Challenges : Analysis by Mathematics of Uncertainty (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031617706
    Language: English
    Pages: 1 Online-Ressource(XV, 278 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 256
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Environmental sciences
    Abstract: 1. Preliminaries -- 2. Sustainability and Artificial Intelligence: Analysis Using Mathematics of Uncertainty -- 3. Sustainable Goals in Combating Human Trafficking: Analysis by Mathematics of Uncertainty -- 4. Climate Change -- 5. Modern Slavery -- 6. Health Status and Psychological Issues of Human Trafficking Victims -- 7. Human Trafficking Routes and Fuzzy Graphs -- 8. Mental Health and Homelessness -- 9. Terrorism: Interpol Global Policing Goals and SDGs -- 10. Global Hunger -- 11. Biodiversity and Extinction -- 12. Global Poverty -- 13. Domestic Violence.
    Abstract: This book focuses on the relationship between Artificial Intelligence (AI) and the Sustainable Development Goals (SDGs). One of the most important issues the world is facing is sustainability. All members of the United Nations adopted Agenda 2030 and the Sustainable Development Goals. Associated with the SDGs are many serious global problems. These problems include climate change, global poverty, global hunger, human trafficking, homelessness, biodiversity, extinction, and terrorism. The author’s purpose is to develop a textbook concerning the SDGs and how they relate to these problems. A recent issue has emerged. That is Artificial Intelligence. AI has tremendous potential to do both good and harm. The book is designed in such a way that it can be used as an undergraduate textbook on sustainability. Consequently, the mathematics involved is kept at a reasonable level. One of the author’s goals is to prepare the reader to further their study of global issues. In particular, to provide them the background needed to examine the three books in the Springer Series Studies in Systems, Decision and Control, volumes 299, 353, and 391. Exercises are provided in the text as well as an instructor's manual. Some topics examined in the book include country achievement of the SDGs, the relationship between human trafficking and the SDGs, climate change, and global problems mentioned above.
    DOI: 10.1007/978-3-031-61770-6
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  • 70
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    Granularities-Driven Hesitant Fuzzy Linguistic Decision Making (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031603501
    Language: English
    Pages: 1 Online-Ressource(XIV, 188 p. 48 illus., 39 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 433
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: 1. Introduction -- 2. Hesitant fuzzy linguistic term set with granularity level -- 3. Attribute dependency processing based on hesitant fuzzy linguistic term sets with granularity levels -- 4. Attribute reduction procedure based on hesitant fuzzy linguistic term sets with granularity levels -- 5. Single-objective group decision making based on complete hesitant fuzzy linguistic term sets with granularity levels.
    Abstract: This book introduces a state-of-the-art extension of fuzzy sets that is hesitant fuzzy linguistic term sets with granularity levels, and based on the fuzzy technique, several granularities-driven hesitant fuzzy linguistic decision-making methods are introduced to provide powerful tools to solve actual problems. Motivated from the idea of granular computing, the technique of hesitant fuzzy linguistic term sets with granularity levels is constructed, which not only brings flexibility and individuality for the linguistic model, but also provides a possibility to process a large amount of linguistic information in group decision-making efficiently and accurately. Thus, the researches on granularities-driven hesitant fuzzy linguistic decision making, can provide an effective way to solve practical decision-making problems based on complex linguistic information, and enrich the research system of decision-making and granular computing in theory and practice. In specific, this book introduces the construction of hesitant fuzzy linguistic term sets with granularity levels, and methods of handling attribute dependence, attribute reduction, single-objective group decision-making, and bi-objective group decision-making. The above decision-making methods are applied to the evaluation of medical and health management, and the effectiveness and advantages of the methods are verified by simulation comparison and analysis. Therefore, this book has not only important theoretical significance, but also broad application prospects.
    DOI: 10.1007/978-3-031-60350-1
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    The Orchid Cage : A Science Fiction Novel (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031604997
    Language: English
    Pages: 1 Online-Ressource(VII, 149 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: Science and Fiction
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Fiction. ; Technology ; Social evolution. ; Artificial intelligence.
    Abstract: The First Attempt -- The Second Attempt -- The Third Attempt -- Epilog -- Afterword by Hans Esselborn.
    Abstract: This book is a new English translation of the classic science fiction story written in 1961 by Herbert W. Franke, widely held to be the most important German-language science-fiction writer. A dead city on a distant planet, two groups of people trying to explore it. Step by step, they penetrate the outer ring with its ultra-modern technology, the half-ruined medieval city center and finally the mysterious center. But is the eerie city really dead? Suddenly the factories start working again, the automatons intervene, and somewhere in the background there is still something hidden that could perhaps awaken. But is it people or machines? Herbert W. Franke leads the reader into an oppressively strange world; only after the startling resolution does it become clear what lies behind the adventures of the intruders - not a cosmic strangeness, but a threatening development that could affect humans in the same way. Franke's novel is thus a parable of the evolution of all humans in the age of technical communication ...
    DOI: 10.1007/978-3-031-60499-7
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    From Automated to Autonomous Driving : A Transnational Research History on Pioneers, Artifacts and Technological Change (1950-2000) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031498817
    Language: English
    Pages: 1 Online-Ressource(XI, 307 p. 73 illus., 43 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Archimedes, New Studies in the History and Philosophy of Science and Technology 70
    Parallel Title: Erscheint auch als
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    Keywords: Science ; Robotics. ; Automotive engineering. ; Artificial intelligence. ; Computer vision.
    Abstract: Acknowledgements -- Chapter 1. Introduction -- Chapter 2. History of the research on vehicle automation in the United States -- Chapter 3. History of the research on vehicle automation in Japan -- Chapter 4. History of the research on vehicle automation in Europe -- Chapter 5. Findings of the inquiry -- Chapter 6. Timeline with firsts, milestones and shifts -- Index.
    Abstract: This book presents the most important milestones of the research on automated and autonomous driving in the United States, Japan and Europe throughout five decades (1950-2000). Drawing on sources from the automotive industry, electrical engineering, the robotics and AI-domain and military institutions, it retraces the transition from the guidance-cable approach to vehicle-based sensor and vision systems. Giving a detailed overview of the technical concepts, artefacts, research vehicles and robots, the book presents the transnational engineering efforts that started long before Silicon Valley entered the field. In addition, the book also uniquely details the role of the military in the domain of vehicle automation. This all ensures the book is of great interest to historians of technology, practitioners in engineering disciplines, scholars working in mobility studies, journalists, and political decision makers.
    DOI: 10.1007/978-3-031-49881-7
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    The Emergence of Mind : Where Technology Ends and We Begin (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031468353
    Language: English
    Pages: 1 Online-Ressource(XIII, 170 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Technology ; Philosophy of mind. ; Artificial intelligence.
    Abstract: Chapter 1. Writing the Human Narrative -- Chapter 2. Where We Begin -- Chapter 3. The Science of Mindlessness -- Chapter 4. Where Computation Ends -- Chapter 5. Relational Science -- Chapter 6. Life and Mind -- Chapter 7. Thinking as a Creative Act -- Chapter 8. Emerging Minds./.
    Abstract: "Whether or not you accept the conventional wisdom that computational intelligence and human intelligence are essentially the same, I recommend that you ponder Jeffrey Kane's timely and persuasive book. " —Howard Gardner, Hobbs Research Professor of Cognition and Education, Harvard Graduate School of Education “In this breathtaking journey through both the works of classic and contemporary philosophers and scientists, Kane sometimes offers agreements but also compelling challenges, leaving the reader filled with the excitement of the mission. While so much has been learned, there is so much more to be understood. Kane illuminates that the journey to understanding how the brain gets mental has just begun.” —Mike Gazzaniga, Director of the SAGE Center for the Study of Mind, University of California, Santa Barbara While it may appear that generative AI has mastered the mystery of the human mind and released its full power, The Emergence of Mind: Where Technology Ends and We Begin demonstrates the profound and fundamental limitations of the technology and its use as a model of human thinking. In response, the book offers an emergent model of the human mind rooted in our experiences as living, sentient, social and conscious beings. The text explores the nature of meaning in human cognition and the critical importance of the experience of ideas. In so doing, it offers insights into the cultivation of specific generative capacities of the human mind. Jeffrey Kane, is a professor of Philosophy and Education at Long Island University. After serving as the Academic Vice-President of the University, Dr. Kane returned to faculty to teach and to write about the experiential foundations of human thinking. Among his publications are Beyond Empiricism: Michael Polanyi Reconsidered and a book of poetry, life as a novice. He lives in East Hills NY with his wife Janet. .
    DOI: 10.1007/978-3-031-46835-3
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    Improving technology through ethics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031529627
    Language: English
    Pages: 1 Online-Ressource(V, 108 p. 13 illus., 8 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: PoliMI SpringerBriefs
    Parallel Title: Erscheint auch als
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    Keywords: Technology ; User interfaces (Computer systems). ; Human-computer interaction. ; Technology ; Artificial intelligence.
    Abstract: Introduction: What Improving Technology through Ethics Means -- An Ethnographer Among the Engineers: Doing STS at a Technical University -- Future Medicine: Towards a More Conscious and Ethical Communication -- Data Quality, Data Diversity and Data Provenance: An Ethical Perspective -- Ethics-aware Application of Digital Technologies in the Construction Industry -- Drawing Together: Technology Development for Public Service -- Addressing Big Data Poverty in Sub-Saharan Africa for Responsible AI Development -- Social and Technological Innovation: Cross-Fertilization Needed.
    Abstract: This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature.
    DOI: 10.1007/978-3-031-52962-7
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    Bernard Shaw, Automata, Robots, and Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031492266
    Language: English
    Pages: 1 Online-Ressource(XV, 141 p. 30 illus., 22 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Bernard Shaw and His Contemporaries
    Parallel Title: Erscheint auch als
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    Keywords: Playwriting. ; Dramatists. ; Theater ; Artificial intelligence. ; Technology
    Abstract: Chapter One: Bernard Shaw, Automata, Robots and Artificial Intelligence -- Chapter Two: Shaw and Automata -- Chapter Three: Shaw and Robots -- Chapter Four: Shaw and Artificial Intelligence -- Chapter Five: Artificial Intelligence as a Partner in Shaw Studies -- Chapter Six: The Way Forward: Shaw and Artificial Intelligence.
    Abstract: This project is the first to explore how Bernard Shaw intersects constructively with automata, robots and artificial intelligence (AI). Shaw was born in the golden age of the automaton. His Bible on the Life Force and Creative Evolution, Back to Methuselah, was written when Karel and Josef Čapek coined the word “robot.” Shaw’s life ran in parallel with the rise of AI, and the big names in AI were his contemporaries. Moreover, empirical analyses of Shavian texts and images using AI uncovers possibilities for new interpretations, demonstrating how future renditions of his works may make use of these advanced technologies to broaden Shaw’s audience, readership and scholarship. Kay Li is an established Shaw scholar and Adjunct Professor in the Department of English at University of Toronto, Canada. She is one of the founding members of the International Shaw Society, is the Project Leader of the SAGITTARIUS–ORION Digitizing Project on Bernard Shaw funded by the Social Sciences and Humanities Research Council of Canada, and the Arts and Artificial Intelligence project funded by Canadian Heritage. Her books include Bernard Shaw and China: Cross-Cultural Encounters (2007) and Bernard Shaw’s Bridges to Chinese Culture (Palgrave Macmillan, 2016). Kay has also published many articles in peer-reviewed journals, especially in SHAW: The Journal of Bernard Shaw Studies. .
    DOI: 10.1007/978-3-031-49226-6
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    YSEC Yearbook of Socio-Economic Constitutions 2023 : Law and the Governance of Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558320
    Language: English
    Pages: 1 Online-Ressource(VI, 359 p.)
    Edition: 1st ed. 2024.
    Series Statement: YSEC Yearbook of Socio-Economic Constitutions 2023
    Parallel Title: Erscheint auch als
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    Keywords: Information technology ; Mass media ; Artificial intelligence.
    Abstract: Introduction by Eduardo Gil Pedro and Andreas Moberg -- Part I: AI Regulation in the EU – The Future Interplay between Frameworks by Béatrice Schutte -- The AI Act’s Research Exemption: A Mechanism for Regulatory Arbitrage? by Liane Colonna -- Part II: Governance of AI or Governance by AI: Limits, New Threats, and Unnegotiable Principles by Migle Laukyte -- A Horizontal Meta-effect? Theorizing Human Rights in the AI Act and the Corporate Sustainability Due Diligence Directive by Mika Viljanen -- Everybody Wants to Rule the World. The Relevance of the Rule of Law for Private Law, in the Context of Algorithmic Profiling of Online Users by Silvia Carretta -- AI and Automation by Claes Granmar -- Part III: Algorithmic Hiring Systems: Implications and Recommendations for Organisations and Policymakers by Jason D. Schloetzer and Kyoko Yoshinaga -- AI Gender Biases in Women’s Healthcare: Perspectives from the United Kingdom and the European Legal Space by Pin Lean Lau -- The Role of AI in Mental Health Applications and Liability by Petra Müllerová -- Trustworthy Artificial Intelligence and Public Procurement by Isabel Gallego Córcoles -- AI and Sensitive Personal Data under the Law Enforcement Directive – Between Operational Efficiency and Legal Necessity by Markus Naarttijärvi.
    Abstract: Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term ‘AI governance’, cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter “AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. .
    DOI: 10.1007/978-3-031-55832-0
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    KI als Zukunftsmotor für Verlage : Potenziale und Fallbeispiele für KI-Anwendungen in der Buchbranche (2024)
    Wiesbaden : Springer Fachmedien Wiesbaden | Wiesbaden : Imprint: Springer VS
    Details
    ISBN: 9783658430375
    Language: German
    Pages: 1 Online-Ressource(XVI, 81 S. 21 Abb. in Farbe.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Keywords: Communication and traffic. ; Printing. ; Publishers and publishing. ; Computational intelligence. ; Artificial intelligence.
    Abstract: Vorwort -- Mögliche Einsatzgebiete von künstlicher Intelligenz im Verlagswesen -- Künstliche Intelligenz: Hype oder Handlungsfeld? -- KI im Einsatz am Beispiel des Wissenschaftsverlages Springer Nature -- Digital Publishers -- Künstliche Intelligenz als Sparringspartner im Verlag -- Ausblick.
    Abstract: Generative KI ist ein Game Changer für Verlage. Wie aber sollten Verlage darauf reagieren? Da in der Publishing-Branche Daten eine wichtige Rolle spielen, können KI-Technologien auch hier wertvolle Beiträge leisten. Diese Innovationen sichern gleichzeitig die Zukunft der Verlagsbranche gegenüber globalen Tech-Konzernen ab, die selbst Publishing anbieten. Ziel des Bandes ist es daher, über konkrete Potenziale in Verlagen zu sprechen, seien es z. B. Manuskriptarbeit, Marketingkommunikation oder Nachauflagen. Mit einer Einführung in KI, drei konkreten Fallbeispielen und einer Potenzialanalyse zu ChatGPT. Der Herausgeber Dr. Okke Schlüter ist seit 2008 Professor für Medienkonvergenz im Studiengang Mediapublishing an der Hochschule der Medien Stuttgart. Schwerpunkte sind außerdem Crossmediales Produktmanagement, Innovationsmanagement/Design Thinking und digitale Geschäftsmodelle.
    DOI: 10.1007/978-3-658-43037-5
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    Challenges of the Technological Mind : Between Philosophy and Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031553332
    Language: English
    Pages: 1 Online-Ressource(XIX, 190 p. 8 illus.)
    Edition: 1st ed. 2024.
    Series Statement: New Directions in Philosophy and Cognitive Science
    Parallel Title: Erscheint auch als
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    Keywords: Technology ; Philosophy of mind. ; Artificial intelligence.
    Abstract: PARTI: Echoes of technological mind -- 1. Introduction -- 2. Is artificial intelligence intelligent? -- 3. Anthropomorphizing and trusting social robots -- 4. What neurohacking can tell us about the mind. Cybercrime, mind upload and the Artificial Extended Mind -- 5. On Neuroenhancement: Between bioethics and biotechnology -- PARTII: Challenging mind: Between Cognition and Art -- 6. Consciousness, Theory, and Mental Appearance -- 7. Theoretical virtues of cognitive extension -- 8. Hypnotic AI. The Altered States of Media Matter -- 9. The Digital Playful River, a River Out of Eden. How the internet shaped my planetary perception. -- 10. The mind, embodiment and technology: Experience, aesthetic sensibility and production of meaning.
    Abstract: This book presents a set of texts that reflect different approaches to the relationship between mind and technology. In today’s increasingly technological world, a myriad of different and dizzying challenges face humanity: the ever-closer relationship between man and machine, the exponential development of Artificial Intelligence, man's relationship with virtual worlds, the relationship with new realities such as the neuro potentiation of his capacities, the appearance of robots in everyday life, and so on. In this volume, renowned world specialists explore these concerns, and discuss limitations and possible problems surrounding the interaction of man and machine. The book provides a well-researched, thought-provoking analysis of the need to rethink the theory of the mind, proposing relevant answers to pressing questions and raising new questions that need to be considered. Paulo Alexandre e Castro is a full member of the Institute for Philosophical Studies atthe University of Coimbra, Portugal, and visiting professor at the University of Caxias do Sul, Brazil.
    DOI: 10.1007/978-3-031-55333-2
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    Artificial Intelligence Valuation : The Impact on Automation, BioTech, ChatBots, FinTech, B2B2C, and Other Industries (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Palgrave Macmillan
    Details
    ISBN: 9783031536229
    Language: English
    Pages: 1 Online-Ressource (XX, 695 p. 68 illus., 63 illus. in color.)
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als Moro-Visconti, Roberto Artificial Intelligence Valuation
    Keywords: Valuation. ; Artificial intelligence. ; Financial engineering. ; Artificial Intelligence ; Capitalization ; Digital Transformation ; Networking Digital Platforms ; Sustainable Business Planning ; Supply Chain Optimization: ; E-commerce
    Abstract: 1. Introduction -- 2. The valuation of intangible assets: an introduction -- 3. Artificial Intelligence-driven Digital Scalability and Growth Options -- 4. The valuation of Artificial Intelligence-driven know-how and patents -- 5. The valuation of Artificial Intelligence-driven startups -- 6. The valuation of software as a prerequisite for Artificial Intelligence -- 7. The Valuation of Artificial Intelligence -- 8. Chatbots and generative artificial intelligence -- 9. Sustainable Artificial Intelligence Issues: from ESG Valuation to Ethical Concerns -- 10. Artificial Intelligence-driven Industry Applications -- 11. Artificial Intelligence Valuation: Empirical Cases and Templates.
    Abstract: The book discusses the main valuation methodologies of artificial intelligence (AI). Company valuation goes hand in hand with estimating intangible assets like AI, which are linked to higher risk and lower collateral value. Their accounting is controversial, and the most widely used valuation approaches are based on market, income, or cost-related metrics.The volume discusses in detail the valuation approaches such as the discounted cash flows (remembering that “cash is king”) or the empirical market multipliers and comparables. The approaches are complemented by several models, including advanced business planning that incorporates machine learning, digital scalability networks, or validating blockchains. The book, with a tailor-made theoretical background backed by empirical cases, shows how to evaluate AI products, such as chatbots or virtual assistants, for AI established producers, startups, or traditional “brick-and-mortar” AI users. The comprehensive set of techniques and methodologies will interest researchers, students, and practitioners in corporate finance, intellectual property valuation, and financial technology. Roberto Moro-Visconti is a professor of Corporate Finance at the Catholic University of the Sacred Heart, Milan, Italy. He is the director of studio Moro-Visconti, chartered accountants, and financial consultants. Dr. Moro-Visconti manages a consolidated financial boutique that derives from a deep-routed tradition of professional consultants and specializes in Intellectual Property Appraisal.
    DOI: 10.1007/978-3-031-53622-9
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    15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031252525
    Language: English
    Pages: 1 Online-Ressource(XXVI, 757 p. 300 illus., 172 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 610
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: On some de novo type approaches to fuzzy decision making, optimization and control: an application to sustainable regional development -- Summarization of bimodal information from large data sets -- Multi-attribute decision making in material selection under Z-valued information -- Decision making on students’ performance estimation -- Decision making on selection of Ferritic stainless steel -- Forecasting demand in the commodity market of food products using neural networks -- Estimation of countries’ economic development by using Z-number theory -- Optimal implication-based fuzzy control system for a steam generator -- Prediction of energy consumption in residential buildings using Type-2 fuzzy wavelet Neural Network -- Analysis of knee osteoarthritis grading using Deep Learning -- Solving problem of unit commitment by exchange market algorithm and dynamic planning method -- Regular Identification Algorithms for a Special Class of Neuro-Fuzzy Models ANFIS.
    Abstract: The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of Soft Computing, Neuro-Fuzzy Technology, Intelligent Control, Deep Learning-Machine Learning, Fuzzy Logic in Data Analytics, Evolutionary Computing, Fuzzy logic and Artificial Intelligence in Engineering, Social Sciences, Business, Economics, Material Sciences, and others. This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2022, held in Budva, Montenegro, on August 26-27, 2022. This is a useful guide for academics, practitioners, and graduates in fields of fuzzy logic and soft computing. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.
    DOI: 10.1007/978-3-031-25252-5
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    Intelligent Systems Design and Applications : 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 1 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031274404
    Language: English
    Pages: 1 Online-Ressource(XV, 577 p. 206 illus., 140 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 646
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering. .
    DOI: 10.1007/978-3-031-27440-4
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    Hybrid Metaheuristics in Structural Engineering : Including Machine Learning Applications (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031347283
    Language: English
    Pages: 1 Online-Ressource(VIII, 305 p. 132 illus., 84 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 480
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction and Overview: Hybrid Metaheuristics in Structural Engineering - Including Machine Learning Applications -- The Development of Hybrid Metaheuristics in Structural Engineering -- Optimum Design of Reinforced Concrete Columns in Case of Fire -- Hybrid Social Network Search and Material Generation Algorithm for Shape and Size Optimization of Truss Structures -- Development of a Hybrid Algorithm for Optimum Design of a Large-Scale Truss Structure.
    Abstract: From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering. .
    DOI: 10.1007/978-3-031-34728-3
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    The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031277627
    Language: English
    Pages: 1 Online-Ressource(XX, 607 p. 253 illus., 202 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 164
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Convolutional Sparse Autoencoder for Emotion Recognition -- Lung Cancer Classification Model Using Convolution Neural Network -- An Enhanced Deep learning Approach for Breast Cancer Detection In Histopathology Images -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Skin Cancer Detection Based on Deep Learning Methods -- Predicted Phase Using Deep Neural Networks to Enhance Esophageal Speech -- State of the Art Literature on Anti-Money Laundering using Machine Learning and Deep Learning Techniques -- The Reality of Artificial Intelligence Skills Among Eighth-Grade Students in Public Schools -- A Deep Neural Network Architecture for Extracting Contextual Information -- Feedforward Neural Network in Cancer Treatment Response Prediction -- A Genetic Algorithm Approach Applied to the Cover set Scheduling Problem for Maximizing Wireless Sensor Networks Lifetime -- Application of Machine Learning to Sentiment Analysis -- Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine.
    Abstract: This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV’2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco, the Scientific Research Group in Egypt (SRGE), Cairo University, and the Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, sentiment analysis, and recommendation systems, and software-defined network and telecommunication.
    DOI: 10.1007/978-3-031-27762-7
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  • 84
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    The Use of Artificial Intelligence for Space Applications : Workshop at the 2022 International Conference on Applied Intelligence and Informatics (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031257551
    Language: English
    Pages: 1 Online-Ressource(XI, 449 p. 218 illus., 186 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1088
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Aerospace engineering. ; Astronautics. ; Artificial intelligence.
    Abstract: SAR Image Formation: Conventional and AI-based approaches on Sentinel-1 Raw Products -- YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking -- GPUSAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy -- Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance -- Satellite IoT for TT&C and Satellite Identification -- Hardware-in-the-loop simulations of future autonomous space systems aided by artificial intelligence -- Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance -- Imbalanced data handling for deep learning-based autonomous Crater Detection Algorithms in Terrain Relative Navigation -- Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design -- Distribution Shift Metric for Performance Evaluation of Behavioral Cloning Applied to the Fuel-Optimal Landing Problem -- Fault Detection Exploiting Artificial Intelligence in Satellite Systems -- ISS Monocular Depth Estimation Via Deep Learning -- RobDT: AI-enhanced Digital Twins for Space Exploration Robotic Assets -- An Overview of X-TFC Applications for Aerospace Optimal Control Problems -- Innovative ML-based methods for automated on-board spacecraft anomaly detection -- Explainable AI with the Information Bottleneck Principle -- SINAV an ASI study of future AI applications on spatial rovers -- Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project -- Object recognition algorithms for the Didymos binary system -- Towards an explainable Artificial Intelligence approach for ships detection from satellite imagery -- Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation -- Detection of Clouds and Cloud shadows on Sentinel-2 Data Using a CNN -- PRISMA Hyperspectral Image Segmentation with U-Net Convolutional Neural Network using Singular Value Decomposition for Mapping Mining Areas: preliminary results -- Earth Observation Big Data exploitation for water reservoirs continuous monitoring: the potential of Sentinel-2 data and HPC -- Retrieval of marine parameters from hyperspectral satellite data and machine learning methods -- Cooperative Lunar Site Preparation and Open Pit Resource Extraction Using Ground Robots -- Machine learning for SAR processing -- Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. A case study on the Aspromonte National Park -- A Supervised Learning-based Approach to Maneuver Detection Through TLE Data Mining -- A Machine learning approach for Monitoring of GNSS signal quality in Spaceborne receivers: Evil waveform and RF threats.
    Abstract: This book is an ideal and practical resource on the potential impact Artificial Intelligence (AI) can have in space sciences and applications. AI for Space Application presents a hands-on approach to browse in the subject and to learning how to do. AI is not yet fully accepted as a pervasive technology in space applications because they are often mission-critical and the cost of space equipment and modules raises skepticism on any practical use and reliability. However, it is evident that its potential impact on many aspects is dramatic. Starting from either actual or experimental realizations, the book accompanies the reader through such fascinating subjects like space exploration, autonomous navigation and landing, rover control and guidance on rough surfaces, image analysis automation for planet or star classification, and for space debris avoidance without human intervention. This kind of approach may facilitate further investigations on the same or similar subjects, as the future of space explorations is going toward adopting AI. The intended audience of the book are researchers from academia and space industries and practitioners in related start-ups.
    DOI: 10.1007/978-3-031-25755-1
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    Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023) (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031380792
    Language: English
    Pages: 1 Online-Ressource(XII, 103 p. 24 illus., 18 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 743
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Bioinformatics.
    Abstract: This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).
    DOI: 10.1007/978-3-031-38079-2
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  • 86
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    Advances in Smart Healthcare Paradigms and Applications : Outstanding Women in Healthcare—Volume 1 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031373060
    Language: English
    Pages: 1 Online-Ressource(XII, 225 p. 76 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 244
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical care. ; Biomedical engineering.
    Abstract: Medical Microscopic Single Image Super-resolution Based on Deep Neural Networks -- Making process trace classification more explainable: approaches and experiences in the medical field -- Improving diagnostics of pneumonia by combining individual hypotheses on chest X-ray images -- ICARE: An Intuitive Context-Aware Recommender with Explanations -- An overview of few-shot learning methods in analysis of histopathological images -- From Pixels to Diagnosis: AI–Driven Skin Lesion Recognition -- Artificial Intelligence in Obstetrics -- A co-design approach for developing and implementing smart health technologies and services -- Contributions of women on the recent applications of BCIs in healthcare -- Conducting remote faculty development programs for simulation educators -tips to overcome the barriers.
    Abstract: This book is dedicated to showcase research and innovation in smart healthcare systems and technologies led by women scientists, researchers, and practitioners. With the advent of artificial intelligence (AI) and related technologies, the healthcare sector has undergone tremendous changes in practice and management in recent years. On par to men, women have made significant contributions to tackle a variety of healthcare problems, creating smarter paradigms to provide effective and efficient solutions for patients and stakeholders. The book presents a small collection of contributions by outstanding women in STEM (Science, Technology, Engineering and Mathematics) education, focusing on the healthcare domain. The selected articles allow readers to comprehend current advances in AI and other methods for undertaking healthcare challenges. It is envisaged that the inspiring work by prominent women scientists, researchers, and practitioners reported in this book offers a beacon to propel women in pursuing STEM education and advancing the healthcare sector for the benefits of humankind.
    DOI: 10.1007/978-3-031-37306-0
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  • 87
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    Dependable Computer Systems and Networks : Proceedings of the Eighteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 3–7, 2023, Brunów, Poland (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031377204
    Language: English
    Pages: 1 Online-Ressource(XIII, 362 p. 134 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 737
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Dynamics. ; Nonlinear theories. ; Artificial intelligence.
    Abstract: Line Segmentation of Handwritten Documents Using Direct Tensor Voting -- Practical Approach to Introducing Parallelism in Sequential Programs -- The digital twin to train a neural network detecting headlamps failure of motor vehicles -- Dynamic change of tasks in multiprocessor scheduling -- Regression models evaluation of short-term traffic flow prediction -- Performance analysis of a real-time data warehouse system implementation based on open-source technologies -- Evaluating the Different Factors Affecting the Educational Attainment of Students at the Faculty of Information Technology at Jordan Universities -- Hammering test on a concrete wall using Neural Network -- Artificial intelligence methods in email marketing - a survey -- Detection of oversized objects in a video stream, exploiting an image classification approach using deep neural networks -- Reliability Model of Bioregenerative Reactor of Life Support System for Deep Space Habitation -- Safety assessment of maintained control systems with cascade two-version 2oo3/1oo2 structures considering version faults -- CPU signal rank-based disaggregation in Cloud computing environments -- Efficient Clustering-based Neighbourhood in Recommender Systems -- New approach to constructive induction - Towards Deep Discrete Learning -- Softcomputing Approach to Music Generation -- Identification of the Language UsingStatistical and Neural Approaches -- Smart data logger with continuous ECG signalmonitoring -- Movement Tracking in Augmented and Mixed Realities Impacting the User Activity in Medicine and Healthcare -- General provisioning strategy for local specialized cloud computing environments -- Tabular structures detection on scanned VAT invoices -- Automation of deanonymization queries for the Bitcoin investigations -- Structural models for fault detection of Moore finite state machines -- Application of generative models to augment IMU signals in gait biometric -- Ant colony optimization algorithm for finding the maximum number of d-size cliques in a graph with not always m-vertices in its d parts -- Partitioning of a m-part weighted graph with n vertices in each its part into n cliques with m vertices and the total minimum sum of their edges weights using ant algorithms -- A Study of Architecture Optimization Techniques for Convolutional Neural Networks -- Scheduling Resource to Deploy Monitors in Automated Driving Systems -- Power Analysis of BLAKE3 Pipelined Implementations in FPGA Devices -- Deep Learning ECG Signal Analysis: Description and Preliminary Results -- Deployment of Deep Models in NLP Infrastructure -- Analysis of handwritten texts to detect selected psychological characteristics of a person -- Architecting Cloud-Based Business Software - A Practitioner's Perspective.
    Abstract: The book includes papers about various problems of dependable operation of computer systems and networks, which were presented during the 18th DepCoS-RELCOMEX conference. Their collection can be an interesting source material for scientists, researchers, practitioners, and students who are dealing with design, analysis, and engineering of computer systems and networks and must ensure their dependable operation. The increasing role of artificial intelligence algorithms and tools in modern information technology and computer engineering, especially rapid expansion of tools based on deep learning methods, calls for extending our view on system dependability. Selection of papers in these proceedings not only illustrates a wide-ranging variety of multidisciplinary topics which should be considered in this context but also proves that virtually all areas of contemporary computer systems and networks must take into account an aspect of dependability.
    DOI: 10.1007/978-3-031-37720-4
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    Intelligent and Fuzzy Systems : Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 2 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031397776
    Language: English
    Pages: 1 Online-Ressource(XVII, 791 p. 213 illus., 146 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 759
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Artificial intelligence.
    Abstract: Monitoring Sleep-Related Disorders Via Artificial Intelligence Methods -- The Present and Future Role of Artificial Intelligence in the Promotion of Sustainable Practices in the Construction Sector -- Honeywell Experion Hive As Breakthrough Approach In Control Systems Evolution -- Pathfinding with Dynamic Obstacles -- Application of Digital Twin technology for live Process Control System of industrial facility -- Level of Automation Assessment for Controlled-Environment Hydroponic Agriculture via Fuzzy MCDM Method -- Navigating the Ethics of the Metaverse: A Fuzzy Logic Approach to Decision-Making -- Investigation the activity of medical institutions for hospital care in Bulgaria with the InterCriteria Analysis Method -- On a Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classification -- Assessment of Cancer Detection from CT scan images using Hybrid Supervised Learning methods -- Unlocking Insights into Mental Health and Productivity in the Tech Industry through KDD and Data Visualization -- Prioritization of User Strategies for mHealthcare App Selection -- Fuzzy Numbers and Analysis of Radiological Images -- Analyzing and Responding to Google Maps Reviews with a Chatbot in Healthcare -- A Novel Decision-Making Framework Based on Interval-valued Pythagorean Fuzzy AHP & CODAS: An Application to Healthcare Supplier Selection.
    Abstract: This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
    DOI: 10.1007/978-3-031-39777-6
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    Computational Cognition (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031374999
    Language: English
    Pages: 1 Online-Ressource(XVIII, 235 p. 64 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Natural language processing (Computer science). ; Artificial intelligence. ; Robotics. ; Computational linguistics.
    Abstract: Preface -- Part I. Semantics -- 1. Ontology -- 2. Algorithm -- 3. Content Resonating in Memory -- 4. Logical Reasoning -- 5. Common Sense Reasoning -- Part II. Pragmatics -- 6. STAR-0 Content: Origin -- 7. STAR-1 Content: Speaker’s Perspective -- 8. STAR-2 Content: Hearer’s Perspective -- 9. Pragmatics of Figurative Use -- 10. Nonstandard Variants of Pragmatics -- Part III. Data-Driven Behavior Control -- 11. Interface Component -- 12. Memory Component -- 13. Operation Component -- 14. Degrees of Abstraction.-15. Conclusion: the Fundamental Alternatives -- Bibliography -- Name Index -- Subject Index.
    Abstract: Modern science is divided into three parts: natural sciences, engineering sciences and humanities. Over the last millennia, natural and engineering sciences evolved a symbiotic relationship, but humanities still stand apart. Today, however, designing and building a talking robot is a comparatively new challenge for which all three branches are needed. Starting from the idea that designing a theory of computational cognition should be as complete as possible, and trying to answer questions such as “Which ontology is required for building a computational cognition?”, the current book integrates interfaces, components, functional flows, data structure, database schema, and algorithms into a coherent system with an extensive range of cognitive functions, and constitutes the background to the book “Ontology of Communication” recently published by the author (Springer, 2023). Part I discusses ontological distinctions between a sign-based and an agent-based approach, and continues with explanations of the data structure, the content-addressable database schema; the time-linear derivations of the speak and the hear mode; resonating content; induction, deduction, and abduction in inferencing, and concludes with a reconstruction of eight classical syllogisms as a test suite for DBS inferencing in the think mode. Part II complements the literal use of language in the speak and hear mode with a reconstruction of syntactic mood adaptations and figurative use. The database schema of DBS is shown to lend itself not only to the tasks of traditional storage and retrieval, but also of reference, coreference, shadowing, coactivation of resonating content, and selective activation. Part III complements the treatment of individual topics in linguistics, philosophy, and cognitive psychology with an overall software structure in the form of three interacting main components, called the interface, the memory, and the production component.
    DOI: 10.1007/978-3-031-37499-9
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    Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031421341
    Language: English
    Pages: 1 Online-Ressource(XXIII, 391 p. 119 illus., 105 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 769
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book includes the accepted papers of the four selected workshops which focus on integration of emerging technologies into education and training (ETELT), Interactive Environments and Emerging Technologies for eLearning (IEETeL), Technology Enhanced Learning in Nursing Education (Nursing), and Technology Enhanced Learning for Future Citizens (TEL4FC). Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’23 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators. We would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, and APPIA), and the sponsors (AIR Institute, and Camara Municipal de Guimarães).
    DOI: 10.1007/978-3-031-42134-1
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    Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031412264
    Language: English
    Pages: 1 Online-Ressource(XV, 260 p. 50 illus., 38 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 764
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’23 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators. The 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL’23) technical program includes 26 contributions (13 full papers and 13 short papers). mis4TEL’23 is hosted by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA and APPIA), and the sponsors (AIR Institute and Camara Municipal de Guimarães).
    DOI: 10.1007/978-3-031-41226-4
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    System Analysis and Artificial Intelligence (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031374500
    Language: English
    Pages: 1 Online-Ressource(IX, 469 p. 108 illus., 69 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1107
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Approach to Development of Digital Twin Model for Cyber-Physical System in Conditions of Conceptual Uncertainty -- Constructing Mathematical Models for Actuarial Processes -- Functional Planning Optimization of Exploiting Underground Space in Large Cities Using System Methodology -- Analysis and Modelling of the Underground Tunnel Planning in Uncertainty Conditions -- Stabilization of Impulsive Processes of the Cognitive Map to Cryptocurrency Usage with Multirate Sampling and Coordination between Some Nodes Parameters -- Wireless Sensor Networks for Healthcare on SoA -- Improving Predictive Models in the Financial Sector Using Fractal Analysis -- K-lr Modeling with Neural Economy and its Utilization in Unclear Data -- Formalization and Development of Autonomous Artificial Intelligence Systems -- Attractors for Differential Inclusions and Their Applications for Evolution Algorithms -- System Analysis and Method of Ensuring Functional Sustainability of the Information System of a Critical Infrastructure Object -- Intellectual Data Analysis and Machine Learning Approaches for Car Insurance Rates Reconstruction -- On Generation of Daily Cloud-Free Satellite Images at High Resolution Level -- Computational Intelligence for Digital Healthcare Informatics -- Continuous and Convex Extensions Approaches in Combinatorial Optimization -- Action Encoding in Algorithms for Learning Controllable Environment -- Comparison of Constrained Bayesian and Classical Methods of Testing Statistical Hypotheses in Sequential Experiments -- Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere -- Neo-Fuzzy Radial-Basis Function Neural Network and Its Combined Learning -- Investigations of Different Classes Hybrid Deep Learning Networks and Analysis of Their Efficiency in Forecasting -- Generalized Models of Logistics Problems and Approaches to Their Solution Based on the Synthesis of the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies -- Technological Principles of Using Media Content for Evaluating Social Opinion -- Scenario Modelling in the Context of Foresight Studies -- Assessing the Development of Energy Innovations and Its Impact on the Sustainable Development of Countries -- Studies of the Intercivilization Fault Level Dynamics -- Exploring the Vulnerability of Social Media for Crowdsourced Intelligence under a False Flag.
    Abstract: This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.
    DOI: 10.1007/978-3-031-37450-0
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    Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23) : Volume 2 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031437922
    Language: English
    Pages: 1 Online-Ressource(XIV, 348 p. 134 illus., 93 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 777
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Explainable Document Classification via Pattern Structures -- Bayesian belief network for association between clusters of social media users with similar personality traits profiles and color characteristics of their avatar images -- Algebraic Bayesian Networks: the Generation of the Network Canonical Representation -- Quantification of Localization Uncertainty in One-stage Object Detection -- Automated Discovery of Direct Speech to Increase Quality and Battery Saving in Telephony.
    Abstract: This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
    DOI: 10.1007/978-3-031-43792-2
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    Fungal Machines : Sensing and Computing with Fungi (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031383366
    Language: English
    Pages: 1 Online-Ressource(IX, 425 p. 259 illus., 200 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Emergence, Complexity and Computation 47
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This unique book explores fungi as sensors, electronic devices, and potential future computers, offering eco-friendly alternatives to traditional electronics. Fungi are ancient, widely distributed organisms ranging from microscopic single cells to massive mycelium spanning hectares. They possess senses similar to humans, detecting light, chemicals, gases, gravity, and electric fields. It covers fungal electrical activity, sensors, electronics, computing prototypes, and fungal language. Authored by leading experts from diverse fields, the book is accessible to readers of all backgrounds, from high-schoolers to professors. It reveals the remarkable potential of fungal machines while minimizing environmental impact.
    DOI: 10.1007/978-3-031-38336-6
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  • 95
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    Knowledge Recommendation Systems with Machine Intelligence Algorithms : People and Innovations (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031326967
    Language: English
    Pages: 1 Online-Ressource(XV, 128 p. 51 illus., 11 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1101
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: 1.Introduction -- 2.Literature review -- 3.Recommending reviewers and experts -- 4.Supporting innovativeness and information sharing -- 5.Selected algorithmic developments -- 6.Knowledge recommendation in practice -- 7.Conclusions.
    Abstract: Knowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively. This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully. The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge. This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.
    DOI: 10.1007/978-3-031-32696-7
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  • 96
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    Intelligence of Things: Technologies and Applications : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465734
    Language: English
    Pages: 1 Online-Ressource(XV, 440 p. 192 illus., 167 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 187
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: FPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues -- A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images -- Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filtering -- Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-User SIMO-RSMA Systems -- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process -- Adaptive Conflict-Averse Multi-Gradient Descent for Multi-Objective Learning -- Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimization -- Research and Develop Solutions to Traffic Data Collection Based on Voice Techniques -- Using Machine Learning Algorithms to Diagnosis Melasma from Face Images -- Reinforcement Learning for Solving Portfolio Selection Problems in the Vietnamese Market -- Towards a Smart Parking System with the Jetson Xavier Edge Computing Platform -- AlPicoSoC: A Low-Power RISC-V Based System on Chip for Edge Devices with a Deep Learning Accelerator -- A Transparent Scalable E-Voting Protocol Based on Open Vote Network Protocol and Zk-STARKs -- DarkMDE: Excavating Synthetic Images for Nighttime Depth Estimation Using Cross-Domain Supervision.
    Abstract: This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
    DOI: 10.1007/978-3-031-46573-4
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  • 97
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    Artificial Intelligence and green computing : Proceedings of the International Conference on Artificial Intelligence and Green Computing (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031465840
    Language: English
    Pages: 1 Online-Ressource(XIII, 304 p. 142 illus., 114 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 806
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: The main objective of this book is to explore the synergy between cutting-edge AI technologies and environmentally conscious practices through collecting best selected research papers presented at the International Conference on Artificial Intelligence and Green Computing (ICAIGC 2023), which took place from March 15 to 17, 2023, in Beni Mellal, Morocco. Within the pages of this book, readers find a wealth of research findings, survey works, and practical experiences aimed at fostering a comprehensive understanding of the pivotal role AI plays in various fields, including agriculture, health care, IT, and more. It highlights both the opportunities presented by the widespread usage of AI and the challenges associated with its continued advancement. As a result, the book has been divided into three parts: 1)- AI for multimedia processing, 2)- AI for distributed computing, and 3)- AI applications. The book serves as a comprehensive resource that brings together on-going research and practical experiences from the ICAIGC 2023 conference. It strives to deepen the understanding of the essential role AI plays in multiple fields. Whether you are an AI enthusiast, researcher, or practitioner, the insights contained within these pages expand your horizons and inspire further exploration of AI's potential in shaping a greener and more technologically advanced future.
    DOI: 10.1007/978-3-031-46584-0
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  • 98
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    Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 1 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031362460
    Language: English
    Pages: 1 Online-Ressource(XVII, 348 p. 734 illus., 564 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 729
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. .
    DOI: 10.1007/978-3-031-36246-0
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  • 99
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    Blockchain and Applications, 5th International Congress (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031451553
    Language: English
    Pages: 1 Online-Ressource(XX, 557 p. 146 illus., 112 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 778
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: This book constitutes the refereed proceedings of the 5th International Congress on Blockchain and Applications 2023, BLOCKCHAIN’23, held in Guimarães, Portugal, in July 2023. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The full papers presented in the main track were carefully reviewed. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in the future research. The authors would like to thank all the contributing authors, the members of the Program Committees, the sponsors, and the Organizing Committee of the University of Minho and the University of Salamanca for their hard and highly valuable work.
    DOI: 10.1007/978-3-031-45155-3
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  • 100
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    Fuzzy Information Processing 2023 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031467783
    Language: English
    Pages: 1 Online-Ressource(X, 358 p. 125 illus., 93 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 751
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
    Abstract: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.
    DOI: 10.1007/978-3-031-46778-3
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