Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Online Resource  (24)
  • Hassanien, Aboul Ella  (12)
  • Jain, Lakhmi C.  (12)
  • Cham : Springer International Publishing  (24)
  • Bielefeld : transcript
  • 1
    Online Resource
    Online Resource
    Artificial Intelligence and Machine Learning for Healthcare : Vol. 1: Image and Data Analytics (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031111549
    Language: English
    Pages: 1 Online-Ressource(XIII, 231 p. 66 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 228
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Medical informatics.
    Abstract: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
    Abstract: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
    DOI: 10.1007/978-3-031-11154-9
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Explainable Edge AI: A Futuristic Computing Perspective (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031182921
    Language: English
    Pages: 1 Online-Ressource(X, 181 p. 61 illus., 46 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1072
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Explainable Artificial Intelligence: Concepts and Current Progression -- Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives -- Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment approaches towards amenable XAI -- Explainable AI (XAI): A Survey of Current and Future Opportunities -- Recent Challenges on Edge AI with its application: A Brief Introduction -- Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisions -- Role of Explainable Edge AI to Resolve Real Time Problem -- Explainable Data Fusion on Edge: Challenges and Opportunities -- Trust Model Based Data Fusion in Explainable Artificial Intelligence for Edge Computing Using Secure Sequential Discriminant Auto Encoder with Lightweight Optimization Algorithm -- A Deep Learning Based Target Coverage Protocol for Edge Computing Enabled Wireless Sensor Networks.
    Abstract: This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.
    DOI: 10.1007/978-3-031-18292-1
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022 (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031206016
    Language: English
    Pages: 1 Online-Ressource(XVII, 841 p. 444 illus., 242 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 152
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Anti-electricity Stealing Detection Based on Recurrent Neural Network -- Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images using Transformers -- Adaptive Collaborative Learning Process in a Hybrid Model -- Overview of Gradient Descent Algorithms: Application to Railway Regularity -- Major Role of Artificial Intelligence, Machine Learning, And Deep Learning in Identity & Access Management field: Challenges and Atate of the Art -- Analysis of Feature Selection Methods for Network Traffic Classification -- MOOC Video Classification using Natural Language Processing and Machine Learning Model -- A Problem and Project-Based Learning Strategy to Promote Students’ Motivation in Post-pandemic Graduation Design Studio: A prospective Comparative Study -- An Efficient 2-Stages Classification Model for Students Performance Prediction -- A Straggler Identification Model for Large-Scale Distributed Computing Systems using Machine Learning -- The Application of Artificial Intelligence in Real Estate Valuation: A Systematic Review -- Agency Theory: Designing Optimal Incentives in the Insurance Sector -- Face mask Detection By Using Deep Learning with the Generative Adversarial Network-based Feature.
    Abstract: This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20–22, 2022, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
    DOI: 10.1007/978-3-031-20601-6
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Knowledge-Based Software Engineering: 2022 : Proceedings of the 14th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2022), Larnaca, Cyprus, August 22-24, 2022 (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031175831
    Language: English
    Pages: 1 Online-Ressource(XII, 219 p. 88 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Learning and Analytics in Intelligent Systems 30
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Software engineering. ; Expert systems (Computer science). ; Engineering
    Abstract: Chapter 1: Proposal of a Middleware to Support Development of IoT Firmware Analysis Tools -- Chapter 2: Feature-Based Cloud Provisioning for Rehosting -- Chapter 3: Pattern to Improve Reusability of Numerical Simulation -- Chapter 4: SpiderTailed: A Tool for Detecting Presentation Failures Using Screenshots and DOM Extraction.
    Abstract: This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.
    DOI: 10.1007/978-3-031-17583-1
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Fusion of machine learning paradigms : theory and applications (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031223716
    Language: English
    Pages: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 236
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-031-22371-6
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    The Future of Metaverse in the Virtual Era and Physical World (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031291326
    Language: English
    Pages: 1 Online-Ressource(VIII, 265 p. 83 illus., 75 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 123
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Development of Cognitive Intelligent Mechanism for Sustainability of Bigdata: A Future Shape of Metaverse -- Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy -- Metaverse for Brain Computer Interface: Towards New and Improved Applications -- The Future of Metaverse in the Virtual Era and Physical World: Analysis and applications -- The Use of Metaverse in the Healthcare Sector: Analysis and Applications -- The ethics of the Metaverse and Digital Virtual Environments: the Metavethics.
    Abstract: This book is divided into three parts. The first part discusses the Metaverse's basics, development, and optional applications such as 3D virtual dressing room-based user-friendly Metaverse, the use of Metaverse in the healthcare and environment sectors as well as the ethics of the Metaverse and digital virtual environments. Part two presents some chapters that discuss emerging technologies in the Metaverse world including IoT, digital twining, and artificial intelligence and shows its impact on climate change. The third part contains chapters discussing cybersecurity in the Metaverse including blockchain technology opportunities and applications and the threat of the digital humanities in the Metaverse. The book is suitable for students and academics aiming to build up their background on the Future of the Metaverse in the Virtual Era and Physical World. .
    DOI: 10.1007/978-3-031-29132-6
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Soft Computing Applications : Proceedings of the 9th International Workshop Soft Computing Applications (SOFA 2020) (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031236365
    Language: English
    Pages: 1 Online-Ressource(XXIV, 737 p. 437 illus., 331 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1438
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Enhanced Functionality of Footing Machine through Deep Learning -- Control of Robotic Manipulator Using Optimized Neural Networks -- Robot Identification using Modern Pattern Recognition Techniques -- Fuzzy Logic Based Diagnostic System for High Voltage Devices -- The Role of AI in transforming the consumer experience: A study on healthcare sector in India -- Ontology-Driven Smart Health Insurance System -- Autistic Verbal Behavior Parameters -- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN) -- Neurodegenerative Disorders Screening System using ‘Intelligent’ Sensors -- Language in the brain What do we know about its organization, and how has neuroimaging improved our understanding?.
    Abstract: Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications to the benefit of humanity. The book comes from a multidisciplinary subject whose audience can come from different academic departments, e.g., department of computer science and engineering, department of medical imaging, department of biomedical informatics, department of education sciences, and so on where artificial intelligence and soft computing are of routine courses. The book covers a range of audience from academicians, practitioners, researchers, and students to stakeholders. It can support graduate students and interns to develop a deep understanding of the latest paradigms in the soft computing techniques.
    DOI: 10.1007/978-3-031-23636-5
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Artificial Intelligence: A Real Opportunity in the Food Industry (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031137020
    Language: English
    Pages: 1 Online-Ressource(VII, 153 p. 57 illus., 44 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1000
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Food science. ; Engineering
    Abstract: Application of Artificial Intelligence in the Food Industry: AI-based Automatic Pruning of Dormant Apple Trees -- Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality -- Explainable AI and Slime Mould Algorithm for Classification of Pistachio Species -- A Support Vector Machine Model for Rice (Oryza sativa L.) Leaf Diseases Based on Particle Swarm Optimization -- CNN in Agriculture and Food Industry: Current Practices and Future Trends -- Utilization of Artificial Intelligence in the Food Industry -- Transfer learning-based models for Arabica coffee leaf disease classification -- Potential of IoT for Water Monitoring to Upgrade Food Quality -- .
    Abstract: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.
    DOI: 10.1007/978-3-031-13702-0
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Advances in Artificial Intelligence-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis—Vol. 1 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030805715
    Language: English
    Pages: 1 Online-Ressource(XII, 237 p. 80 illus., 53 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 22
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Advances in Artificial Intelligence Tools and Methodologies -- Chapter 2: Advances in Artificial Intelligence-based Applications and Services -- Chapter 3: Theoretical Advances in Computation and System Modeling.
    Abstract: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-80571-5
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031039188
    Language: English
    Pages: 1 Online-Ressource(XVI, 699 p. 309 illus., 223 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 113
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering—Data processing.
    Abstract: This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems. .
    DOI: 10.1007/978-3-031-03918-8
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Handbook on Artificial Intelligence-Empowered Applied Software Engineering : VOL.1: Novel Methodologies to Engineering Smart Software Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031082023
    Language: English
    Pages: 1 Online-Ressource(XII, 329 p. 242 illus., 102 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 2
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction to Handbook on Artificial Intelligence-empowered Applied Software Engineering - VOL.1: Novel Methodologies to Engineering Smart Software Systems -- Part I: Survey of Recent Relevant Literature -- Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends -- Part II: Artificial Intelligence-Assisted Software Development -- Towards Software Co-Engineering by AI and Developers -- Generalizing Software Defect Estimation using Size and Two Interaction Variables -- Building of an Application Reviews Classifier by BERT and Its Evaluation -- Harmony Search-enhanced Software Architecture Reconstruction -- Enterprise Architecture-based Project Model for AI Service System Development -- Part III: Software Engineering Tools to develop Artificial Intelligence Applications -- Requirements Engineering Processes for Multi-Agent Systems -- Specific UML-Derived Languages for Modeling Multi-Agent Systems -- Methods for ensuring the overall safety of machine learning systems -- MEAU: A Method for the Evaluation of the Artificial Unintelligence -- Quantum Computing meets Artificial Intelligence: Innovations & Challenges. .
    Abstract: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    DOI: 10.1007/978-3-031-08202-3
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Advances in Assistive Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 3 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030871321
    Language: English
    Pages: 1 Online-Ressource(XVI, 309 p. 103 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 28
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Assistive Technologies -- Chapter 2: Applications of AI in Healthcare and Assistive Technologies -- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread -- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis -- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks. .
    Abstract: This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toileting, moving around, eating, bathing, dressing, grooming, and taking personal care. The ever-increasing life expectancy and world population, along with the emergence of new diseases and the regrettable continuation of armed conflicts, press for development and availability of assistive technologies that offer people in need the opportunity to live secure and controlled lives with more active participation in society and at a reduced assistive cost. This task can be accomplished only with more advanced devices than traditional-powered wheelchairs or eating/drinking devices, including prosthetics, exoskeletons, visual and hearing aids, cognitive aids, and devices enhanced with artificial intelligence. The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies. This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-87132-1
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030941024
    Language: English
    Pages: 1 Online-Ressource(XIV, 174 p. 58 illus., 49 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 412
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Automotive engineering. ; Artificial intelligence.
    Abstract: Automotive Collision Avoidance System: A Review -- Autonomous vehicle assisted by heads up display (HUD) with augmented reality based on Machine learning techniques -- Optimal Stacked Sparse Autoencoder based Traffic Flow Prediction in Intelligent Transportation Systems -- Hand Gesture Recognition for Real-Time Game Play using Background Elimination and Deep Convolution Neural Network.
    Abstract: This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications. .
    DOI: 10.1007/978-3-030-94102-4
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Business Intelligence and Information Technology : Proceedings of the International Conference on Business Intelligence and Information Technology BIIT 2021 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030926328
    Language: English
    Pages: 1 Online-Ressource(XVIII, 875 p. 341 illus., 205 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 107
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Operations research. ; Decision making.
    Abstract: This book constitutes the refereed proceedings of the 2021 International Conference on Business Intelligence and Information Technology (BIIT 2021) held in Harbin, China, during December 18–20, 2021. BIIT 2021 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, artificial intelligence technology.
    DOI: 10.1007/978-3-030-92632-8
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 : The Crucial Role of International Accreditation (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030939212
    Language: English
    Pages: 1 Online-Ressource(XII, 711 p. 113 illus., 96 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1019
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence.
    Abstract: Using Student Opinions to Guide Investments in As-sessment Methods -- The Future of Education After Covid-19, What is the role of Technology -- Technology Role in Education to Overcome COVDI -19 Challenges -- E- Learning and its Application in Universities during Coronavirus Pandemic -- The Influence of Artificial Intelligence on Smart Learning: An Overview -- Dynamics of Inclusive and Lifelong Learning Prospects through Massive Open Online Courses (MOOC): A -- The Impact of Artificial Intelligence on Instructional Leadership.
    Abstract: This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.
    DOI: 10.1007/978-3-030-93921-2
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    Handbook of Artificial Intelligence in Healthcare : Vol. 1 - Advances and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030791612
    Language: English
    Pages: 1 Online-Ressource(XVII, 456 p. 154 illus., 133 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 211
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Health informatics.
    Abstract: Advances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
    Abstract: This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
    DOI: 10.1007/978-3-030-79161-2
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 17
    Online Resource
    Online Resource
    Modeling, Control and Drug Development for COVID-19 Outbreak Prevention (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030728342
    Language: English
    Pages: 1 Online-Ressource(X, 1122 p. 453 illus., 416 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 366
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Biomedical engineering. ; Epidemiology.
    Abstract: Some computational and theoretical results of Novel Coronavirus-19 Disease Via Mathematical Model Involving Caputo-Fabrizo Fractional Order -- Application of mathematical modelling approach in covid-19 transmission and interventions strategies -- Understanding COVID-19 in Brazil: socioeconomic impacts, statistical analysis and future challenges -- Does Pandemics effects human Future? Decisive role of Covid 19 in human evolution.
    Abstract: This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19.
    DOI: 10.1007/978-3-030-72834-2
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    Handbook of Artificial Intelligence in Healthcare : Vol 2: Practicalities and Prospects (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030836207
    Language: English
    Pages: 1 Online-Ressource(XVII, 422 p. 89 illus., 48 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 212
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Health informatics.
    Abstract: Intelligent paradigms for diagnosis, prediction and control in healthcare applications -- Artificial intelligence in healthcare practice: How to tackle the “human” challenge -- A statistical analysis handbook for validating artificial intelligence techniques applied in healthcare.
    Abstract: Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.
    DOI: 10.1007/978-3-030-83620-7
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    Advances in Machine Learning/Deep Learning-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030767945
    Language: English
    Pages: 1 Online-Ressource(XVI, 224 p. 85 illus., 70 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 23
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning.
    Abstract: Part I: Machine Learning/Deep Learning in Socializing and Entertainment -- Part II: Machine Learning/Deep Learning in -- Part III: Machine Learning/Deep Learning in Security -- Part IV: Machine Learning/Deep Learning in Time Series Forecasting -- Part V: Machine Learning in Video Coding and Information Extraction.
    Abstract: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-76794-5
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 20
    Online Resource
    Online Resource
    Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030897017
    Language: English
    Pages: 1 Online-Ressource(XII, 403 p. 210 illus., 136 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 100
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Deep Learning Based Early Diagnosis for SARS-CoV-2 Using Chest X-Ray Images -- Deep Learning-based Image Captioning using to Recognize Malicious or Emergency Activity in an Image -- Deep Learning Approaches for Personal Identification based on EGG Signals -- Research on Vehicle Detection Algorithm Based on Improved YOLO -- Deep Learning Quantitative-Trading-Models' Performance Assessment: The Egyptian Exchange Stock Market As a Case Study -- Robust Crosswalk Detection Using Deep Learning Approach -- Human Trafficking Solution by Deep Learning with Keras and OpenCV -- Automatic Insulator String and Disk Detection in Aerial Images Based on a Deep Learning Approach -- Reducing Voltage Sag in Electrical Distribution System Through Comparison and Simulation between DVR and DSTATCOM -- Understating Factors Affecting Traveling During Covid-19 using Sentiment Analysis -- Factors Affecting the Adoption of Technology in Education System: Case of GCC Universities -- Comparison between Filtering Estimation with Evidence and Prediction Filtering without Evidence to Predict a Robot localization States.
    Abstract: This proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
    DOI: 10.1007/978-3-030-89701-7
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 21
    Online Resource
    Online Resource
    Medical Informatics and Bioimaging Using Artificial Intelligence : Challenges, Issues, Innovations and Recent Developments (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030911034
    Language: English
    Pages: 1 Online-Ressource(VIII, 258 p. 107 illus., 88 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1005
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Health informatics.
    Abstract: Optimized Deep Learning Using Cockroach Swarm Optimization for Segmenting Brain MRI Scans -- Efficient Classification Model for Melanoma Based on Convolutional Neural Networks -- Machine Learning-supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia -- Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification -- A Comprehensive Review on Brain Disease Mapping – the Underlying Technologies and AI based Techniques for Feature Extraction & Classification using EEG signals -- Recognition of Ocular Disease Based Optimized VGG-Net Models -- Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life -- COVID-19 forecasting based on an improved interior search algorithm and multilayer feed-forward neural network -- Development of Disease Diagnosis Model for CXR Images and Reports – A Deep Learning Approach -- Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing -- Analysis of Aortic Valve Using a Finite Element Model -- Fundus images Enhancement using Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection -- Multivariate Fuzzy Logic based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients -- Ensemble machine learning model for mortality prediction inside ICU.
    Abstract: This book emphasizes the latest developments and achievements in artificial intelligence and related technologies, focusing on the applications of artificial intelligence and medical diagnosis. The book describes the theory, applications, concept visualization, and critical surveys covering most aspects of AI for medical informatics.
    DOI: 10.1007/978-3-030-91103-4
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 22
    Online Resource
    Online Resource
    Digital Twins for Digital Transformation: Innovation in Industry (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030968021
    Language: English
    Pages: 1 Online-Ressource(VIII, 200 p. 64 illus., 61 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 423
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering. ; Machine learning.
    Abstract: IoHCT: Internet of Cultural Heritage Things Digital Twins for Conservation and Health Monitoring of Cultural in the Age of Digital Transformation -- MTConnect and Digital Twin Applications and Future Perspectives -- The Future of Digital Twins for Autonomous Systems: analysis and opportunities.
    Abstract: This book aims to present dominant applications and use cases of the fast-evolving DT and determines vital Industry 4.0 technologies for building DT that can provide solutions for fighting local and globalmedical emergencies during pandemics. Moreover, it discusses a new framework integrating DT and blockchain technology to provide a more efficient and effective preventive conservation in different applications.
    DOI: 10.1007/978-3-030-96802-1
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 23
    Online Resource
    Online Resource
    Advances in Selected Artificial Intelligence Areas : World Outstanding Women in Artificial Intelligence (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030930523
    Language: English
    Pages: 1 Online-Ressource(XVII, 356 p. 159 illus., 120 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 24
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
    Abstract: As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
    DOI: 10.1007/978-3-030-93052-3
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 24
    Online Resource
    Online Resource
    Handbook on Artificial Intelligence-Empowered Applied Software Engineering : VOL.2: Smart Software Applications in Cyber-Physical Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031076503
    Language: English
    Pages: 1 Online-Ressource(XII, 197 p. 94 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 3
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering. ; Cooperating objects (Computer systems).
    Abstract: Editorial Note -- Part I: Smart Software Applications in Scientific Document Processing -- Detection, Extraction and SPN Representation of Pseudo-Algorithms in Scientific Documents -- A Recommender Engine for Scientific Paper Peer-Reviewing System -- Part II: Smart Software Applications in Enteprise Modeling -- Visualization of Digital-Enhanced Enterprise Modeling -- Know-linking: When Aachine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies -- Changes in Human Resources Management with Artificial Intelligence -- Part III: Smart Software Applications in Education -- Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers -- A Multi-Institutional Analysis of CS1 Students’ Common Misconceptions of Key Programming Concepts -- Part IV: Smart Software Applications in Healthcare and Medicine -- Clustering-based Scaling for Healthcare Data -- Normative and Fuzzy components of Medical AI Applications -- Part V: Smart Software Applications in Infrastructure Monitoring -- Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone.
    Abstract: Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    DOI: 10.1007/978-3-031-07650-3
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    BSZ
    MPI Ethno. Forsch.
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...