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  • BSZ  (1,393)
  • Regensburg UB
  • KOBV
  • GRASSI Mus. Leipzig
  • 2020-2024  (1,393)
  • Computational intelligence.  (1,393)
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  • 2020-2024  (1,393)
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  • 1
    Online Resource
    Online Resource
    Synergetic Cooperation between Robots and Humans : Proceedings of the CLAWAR 2023 Conference - Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031472725
    Language: English
    Pages: 1 Online-Ressource(XXXI, 420 p. 273 illus., 241 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 811
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence.
    Abstract: Efficiency optimization of the gear reducer of an overhead power line inspection robot -- Leg mechanism of a quadruped wheeled robot with a 4-dof spherical parallel link mechanism -- A new method of climbing on a high place by elasticity-embedded rocker-bogie vehicle with dynamic motions -- Actively variable transmission robotic leg -- Robotic arm development for a quadruped robot -- A locomotion algorithm for an apodal robot to climb and descend steps.
    Abstract: CLAWAR 2023 is the 26th International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies. The conference is organized by CLAWAR Association in collaboration with the Federal University of Santa Catarina, Florianópolis, Brazil, during October 2–4, 2023. This book provides the latest research and development findings and state-of-the-art insights into the mobile robotics and associated technologies in a diverse range of application scenarios, within the framework of “Synergetic Cooperation Between Robots and Humans”. The topics covered include climbing and inspection robots, education in robotics and robotics in education, hybrid and convertible UAVs, legged robots, multibody systems and mechanism design in robotics, planning and control, robotic navigation, robotics and neurotechnologies for healthcare improvements, and simulation and digital twins in robotic applications. The intended readership includes participants of CLAWAR 2023 conference, worldwide researchers, scientists, and educators in the areas of robotics and related topics. The book is also a good source for courses in robotics and automation, control engineering, mechanical engineering, and mechatronics.
    DOI: 10.1007/978-3-031-47272-5
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  • 2
    Online Resource
    Online Resource
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Volume 4 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031430091
    Language: English
    Pages: 1 Online-Ressource(VII, 342 p. 244 illus., 171 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1117
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning.
    Abstract: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.
    Abstract: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
    DOI: 10.1007/978-3-031-43009-1
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  • 3
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978144
    Language: English
    Pages: 1 Online-Ressource(XX, 545 p. 244 illus., 201 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 821
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Crop Classification Using Deep Learning on Time Series SAR Images: A Survey -- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments -- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies -- Two Factor Authentication for Internet of Drones using PUF and Blockchain -- REXOBOT- Simplifying Rescue Operations using Arduino -- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications -- An optimized approach for Sarcasm Detection using Machine learning Classifier -- Medical Image segmentation Using Deep Learning Method -- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations -- Cemetery Allocation Management System Using Ethereum Blockchain -- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads -- SIW based H-plane dual horn radiator for next generation wireless communication -- RNN based model predictive control of multi agent system using switching topologies -- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle -- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data -- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies -- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques -- Design and Development of energy harvesting system for wireless local area Network -- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting -- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator -- Land use and land Change detection of the eco system by processing Sentinel images -- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques -- Machine Learning-based Detection of API Security Attacks -- A Comparative Study on End-to-End Learning for Self-Driving Cars -- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches -- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm -- A Deep Learning based Framework for Android Malware Family Classification -- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart -- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING -- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study -- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems -- Future Generation Elastic Optical Networks: A State-of-Art Review -- Empirical analysis on fake news detection using feature extraction & feature optimization techniques -- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning -- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models -- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis -- Towards the testbed and dataset for analysis of water treatment systems security -- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble -- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network -- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model -- 2D Medical Image Segmentation.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7814-4
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  • 4
    Online Resource
    Online Resource
    Computational Intelligence in Engineering and Project Management (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031504952
    Language: English
    Pages: 1 Online-Ressource(XI, 367 p. 92 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1134
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Project management.
    Abstract: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.
    Abstract: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .
    DOI: 10.1007/978-3-031-50495-2
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  • 5
    Online Resource
    Online Resource
    Information Technology and Systems : ICITS 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542350
    Language: English
    Pages: 1 Online-Ressource(XI, 479 p. 162 illus., 129 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 932
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Detection of fake news using Machine Learning -- Water_Quality_Stat_Analysis -- Customer Segmentation in Online Retail using K-means Clustering Classification and Principal Component Biplot -- Covid interactive query answering using a data cube -- Influence of Indoor Conditions on Sick Building Syndrome: A Data-Driven Investigation -- Análisis de un sistema de horarios como propuesta para la generación automática usando Machine Learning -- Taxonomy of Malicious URL Detection Techniques -- Unmanned Aerial Systems: A Systematic Literature Review -- Vulnerability Analysis - Business Case -- Information security vulnerabilities using steganography as the art of hiding information -- Artificial Intelligence for Cybersecurity: Use Cases and Country Perspective -- Analysis of Plaintext Features in DoH Traffic for DGA Domains Detection -- Cybersecurity for higher education institutions: general strategy vision -- Ethics and AI in Higher Education: A Study on Students' Perceptions.
    Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2024 International Conference on Information Technology & Systems (ICITS'24), held at Universidad de La Frontera, in Temuco, Chile, between the 24th and the 26th of January 2024. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences, and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. The primary markets of this book are postgraduates and researchers in Information Systems and Technologies domains. The secondary markets are undergraduates and professionals as well in Information Systems and Technologies domains.
    DOI: 10.1007/978-3-031-54235-0
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  • 6
    Online Resource
    Online Resource
    Proceedings of Fifth International Conference on Computer and Communication Technologies : IC3T 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997077
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 415 p. 196 illus., 163 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 898
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Data protection. ; Telecommunication.
    Abstract: Implementation of Digital Down Conversion Technique Using FPGA for Atmospheric RADAR Application -- Predictive Data Analysis to Support Decision-making based on Long-term Impacts of Disasters -- Generative Adversarial Networks: Challenges, Solutions, and Evaluation Metrics -- Improving Accuracy and Robustness in Depression Detection with Ensemble Learning and Optimization Techniques -- Spatial-Spectral Features based Dimensionality Reduction Technique for Robust Multivariate Image Classification Improving Breast Cancer Prognosis with DL-based Image Classification -- A Lightweight Encryption Method for Preserving E-Health Care Data Privacy Using Dual Signature on Twisted Edwards Curves -- Intrusion Classification and Detection System using Machine Learning Models on NSL-KDD Dataset -- A comprehensive review of the Application of Green House Using the Internet of Things -- Controlling Power Point Slide Presentations Through Hand Gestures -- Design of Multiband GaN HEMT power amplifier for Radar applications -- SqueezeNet based Model for Subject Identification from Off-Angle Iris Image -- Brain Tumor Detection and Segmentation using Deep Learning Models with Dual Attention Mechanism -- Exploring Machine Learning Algorithms for Accurate Breast Cancer Classification: A Comparative Analysis using F2 Metric -- Optimizing Gene Expression analysis using Clustering Algorithms -- Prevention and Mitigation of Intrusion using an efficient ensemble classification in Fog computing -- Fake News Detector using Machine Learning -- Electric vehicle energy management system using fuzzy logic controller -- Optimized Fall Detection Algorithm with Adaptive Sum Vector Magnitude and Axis-Weighted Features from Wearable Accelerometer Data -- Deep Learning Based Real-Time Face Mask Detection for Human using Novel YOLOv2 with Higher Accuracy -- Smart University Application: Internet of Things(IoT) Based Smart and Random Method to Collect Waste Management System in a University Campus By Using Ant Colony Optimization(ACO) Algorithm -- Tomato leaf Disease Detection and Classification by using Novel CNN model.
    Abstract: This book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human–computer interaction, and web intelligence.
    DOI: 10.1007/978-981-99-9707-7
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  • 7
    Online Resource
    Online Resource
    Bidirectional Comparison of Nominal Sets : Asymmetry of Proximity (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031530968
    Language: English
    Pages: 1 Online-Ressource(XVII, 206 p. 51 illus., 18 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1140
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Engineering mathematics.
    Abstract: Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.
    Abstract: The authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.
    DOI: 10.1007/978-3-031-53096-8
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  • 8
    Online Resource
    Online Resource
    Python for Water and Environment (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819994083
    Language: English
    Pages: 1 Online-Ressource(XIX, 288 p. 92 illus., 89 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Innovations in Sustainable Technologies and Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Python (Computer program language). ; Quantitative research. ; Environmental education.
    Abstract: Data Analysis in the Water and Environment -- Python Environment and Basics -- Python Essentials -- Exploratory Analysis of Hydrological Data -- Graphical Hydrological Data Analysis -- Curve Fitting and Regression Analysis -- Hydrological Time Series Analysis -- Common Hypothesis Testing -- Uncertainty Estimation -- Introduction -- Surface Flow Models -- Subsurface Flow Models -- Transport Phenomena -- Contaminant Transport Models -- Conclusion.
    Abstract: This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
    DOI: 10.1007/978-981-99-9408-3
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  • 9
    Online Resource
    Online Resource
    Trends in Sustainable Computing and Machine Intelligence : Proceedings of ICTSM 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819994366
    Language: English
    Pages: 1 Online-Ressource(IX, 478 p. 246 illus., 201 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Cloud Computing.
    Abstract: Design of a Boosting-based Similarity Measure for Evaluating Gene Expression using Learning Approaches -- Leveraging Linear Programming for Identification of Peripheral Blood Smear Malarial Parasitic Microscopic Images -- The AI's Ethical Limitations from the Societal Perspective. An AI Algorithms' Limitation? -- Enhancement of Physical Layer Security for Relay Aided Multi-Hop Communication using Deep Transfer Learning Technique -- Marine Vessel Trajectory Forecasting using Long-Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm -- Application of Artificial Intelligence in Virtual Reality -- An Extension Application of 1D Wavelet Denoising Method for Image Denoising -- Improving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric Precipitation -- Effects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast Analysis -- Development of Autoencoder and Variational Autoencoder for Image Recognition using Convolutional Neural Network -- A Semantic Web based Prototype Exercise - Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and its Usability Assessment.
    Abstract: The book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2023) organized by Stamford International University, Bangkok, Thailand, during October 5–6, 2023. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.
    DOI: 10.1007/978-981-99-9436-6
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  • 10
    Online Resource
    Online Resource
    Brain-like Super Intelligence from Bio-electromagnetism (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702329
    Language: English
    Pages: 1 Online-Ressource(XIV, 349 p. 172 illus., 92 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Rhythm Engineering
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Bioinformatics. ; Artificial intelligence.
    Abstract: Chapter 1: Exploring the Possibility of Non-local Communication in Human Beings: an Empirical Test of the Information Field Hypothesis -- Chapter 2: HI Applications for ADHD Children: The Graphic Design Perspective -- Chapter 3: Relationship between Intelligence and Universal Consciousness -- Chapter 4: A Genre of Cognitive Evolutions Through Artificial Superintelligence and Robotics Technology -- Chapter 5: Probing the electromagnetic interaction in the protein -- Chapter 6: Revisiting self-operating mathematical universe (SOMU) as a theory for Artificial General Intelligence, AGI and G+ consciousness.
    Abstract: This book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.
    DOI: 10.1007/978-981-97-0232-9
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  • 11
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    Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539633
    Language: English
    Pages: 1 Online-Ressource(XIII, 663 p. 277 illus., 214 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 920
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication.
    Abstract: Understanding the Role of Standard Educational Specifications and Interoperable Resources When Designing and Developing Digital Learning Interventions in Nursing Simulation Scenarios -- A Constructionist Approach to Learning with AI: An “Old” Solution to a “New” Problem? -- Mathematics Course Lecturing: AI Platform as an Enabler -- Building Academic Language for Multi-Lingual Learners Through the Visual Arts -- Analysing Protest-related Tweets: An Evaluation of Techniques by the Open Source Intelligence Team -- CFMD: Corpus For Moroccan Dialect as Under Researched Dialect -- COVID-19 Vaccine Response on Social Media using LDA Analysis -- Performance Evaluation of a New Scheduling Model using Congestion Window Reservation -- Best-Effort Networking Systems -- Research on Blockchain Adoption in Higher Education: A Systematic Review and Conceptual Model.
    Abstract: The book is a valuable collection of papers presented in the Future of Information and Communications Conference (FICC), conducted by Science and Information Organization on 4–5 April 2024 in Berlin. It received a total of 401 paper submissions out of which 139 are published after careful double-blind peer-review. Renowned and budding scholars, academics, and distinguished members of the industry assembled under one roof to share their breakthrough research providing answers to many complex problems boggling the world. The topics fanned across various fields involving Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and Privacy. .
    DOI: 10.1007/978-3-031-53963-3
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  • 12
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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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  • 13
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    Data-Centric Business and Applications : Modern Trends in Financial and Innovation Data Processes 2023. Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031539848
    Language: English
    Pages: 1 Online-Ressource(XV, 426 p. 123 illus., 75 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 194
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Business information services. ; Computational intelligence.
    Abstract: Formation of Strategies for the Development of Startup Ecosystems as a Prerequisite for Sustainable Entrepreneurship -- The Strategy of Sustainable Development of Digital Business in the Conditions of the Variability of the Business Environment and European Integration -- Business Development towards the Application of Innovative Customer Relationship Management (CRM) Technologies in the Context of Global Transformational Changes -- Methodological Principles of Smoothing the Effect of Seasonal Fluctuations on the Components of Labor Intensity in Construction -- Data-Driven Public Budgeting: Business Management Approach and Analytics Methods Algorithmization -- Research of Information Platforms and Digital Transformation Algorithms for Post-War Recovery of Ukrainian Business -- Diagnostics as a Tool for Managing Behavior and Economic Activity of Retailers in the Conditions of Digital Business Transformation -- Methodical Approach to Assessment of Real Losses Due to Damage and Destruction of Warehouse Real Estate -- Methodical Tools for Identification and Quality Control of Design Products -- Development of Information Processes as a Prerequisite for the Sustainable Development of Agricultural Enterprises -- Development and Increasing the Value Added Scenarios for the Woodworking Industry of Ukraine in the Context of the Circular Economy -- Methodological and Technological Solutions to Improve the Security of Ukraine's Accounting System during the Hostilities -- Modeling of the Strategy of Light Industry Enterprise Behavior under Crisis Conditions of Martial Law -- Innovative Technologies to Make Effective Business Decisions at Every Stage of a Mining Company's Development -- Innovative Method of Forecasting the Manifestation of Dangerous Properties of Coal Seams -- Assessment of the Efficiency of Decentralization Transformations in the Rural Areas of Ukrainian Western Polissia: Current Trends and Challenges Under the Conditions of Martial Law -- The Technological and Environmental Effect on Marketing of Children’s Food -- Model for Universal Classification of Social Agents’ Activity/Behavior in Hierarchical Systems.
    Abstract: This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
    DOI: 10.1007/978-3-031-53984-8
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  • 14
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    Sentiment Analysis and its Application in Educational Data Mining (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819724741
    Language: English
    Pages: 1 Online-Ressource(XXI, 97 p. 8 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Data mining. ; Natural language processing (Computer science). ; Machine learning.
    Abstract: Chapter 1: Sentiment Analysis in Natural Language Processing -- Chapter 2: An Overview of Educational Data Mining -- Chapter 3: Impact of Sentiment Analysis in Education Sector -- Chapter 4: Techniques and Approaches in Sentiment Analysis -- Chapter 5: Machine Learning with Sentiment Analysis -- Chapter 6: Incorporation of Sentiment Analysis with Educational Data Mining -- Chapter 7: Preformation Evaluation using Sentiment Analysis.
    Abstract: The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.
    DOI: 10.1007/978-981-97-2474-1
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  • 15
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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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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  • 16
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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume II (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710836
    Language: English
    Pages: 1 Online-Ressource(IX, 579 p. 309 illus., 246 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1171
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances -- Chapter 2. Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations -- Chapter 3. A Denoising Algorithm of Star Map Based on Wavelet Transform and Double-window Combined Filtering -- Chapter 4. UAV Path Planning under Multiple Threats Based on Improved Sparrow Search -- Chapter 5. Distance-constrained Multi-agent Formation Sliding Mode Control under External Disturbances -- Chapter 6. A Multi-UAV Pursuit Strategy Based on Two-Stage Collaborative Search -- Chapter 7. Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-based Bundle Algorithm -- Chapter 8. Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on An Improved Artificial Bee Colony Algorithm -- Chapter 9. Consensus of discrete-time multi-agent systems with unknown but bounded measurement noises -- Chapter 10. Rotary UAVpath planning in rough terrain based on multiple objective SA-PSO optimization, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1083-6
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  • 17
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    Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719877
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 69 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1148
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science).
    Abstract: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.
    DOI: 10.1007/978-981-97-1987-7
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  • 18
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    Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031597077
    Language: English
    Pages: 1 Online-Ressource(XIII, 320 p. 141 illus., 96 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 211
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Biomedical engineering. ; Medical informatics. ; Computational intelligence.
    Abstract: This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts, Johor, Malaysia on 27-28, December 2023. IRICT 2023 is organized by the Yemeni Scientists Research Group (YSRG) and Big Data Center in Universiti Teknologi Malaysia (Malaysia) in collaboration with Association for Information Systems – Malaysia Chapter (MyAIS) and College of Engineering, IT and Environment at Charles Darwin University (Australia). IRICT2023 is a forum for the presentation of technological advances in the field of Information and Communication Technology. The main theme of the conference is “Advances in Intelligent Computing Techniques and Applications”. The book discusses several research topics such as Health Informatics, Artificial Intelligence, Soft Computing, Data Science, Big Data Analytics, Internet of Things (IoT), Intelligent Communication Systems, Cyber Security, and Information System. These papers were presented in three parallel sessions during the two days.
    DOI: 10.1007/978-3-031-59707-7
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  • 19
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    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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  • 20
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    Advances in Internet, Data & Web Technologies : The 12th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031535550
    Language: English
    Pages: 1 Online-Ressource(XXII, 651 p. 317 illus., 262 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 193
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Few Shot Ner on Augmented Unstructured Text from Cardiology Records -- The Influence of Financial Literacy and Financial Technology on Smes' Sustainability -- The Effect of Digital and Human Capital Transformation on Sme Performance With Accounting Information Systems as an Intervening Variable -- Openvslam-based Development Framework for Web-based Vr Tours Using 360vr Videos and Its Extensions -- Implementation of a Fuzzy-based System for Assessment of Logical Trust Considering Reliability as a New Parameter -- Source Code Vulnerability Detection Based on Graph Structure Representation and Attention Mechanisms -- An Efficient Vulnerability Detection Method for 5g Nas Protocol Based on Combinatorial Testing -- Graph-based Detection of Encrypted Malicious Traffic with Spatio-temporal Features -- Fuzzing Iot Devices via Android App Interfaces with Large Language Model -- Towards the Automated Population of Thesauri Using Bert: A Use Case on the Cybersecurity Domain -- Network Scanning Detection Based on Spatiotemporal Behavior -- Iotaint: An Optimized Static Taint Analysis Method in Embedded Firmware -- An Innovative Approach to Real-time Concept Drift Detection in Network Security -- Formal Analysis of 5g Eap-tls 1.3 -- Perceiving Human Psychological Consistency: Attack Detection Against Advanced Persistent Social Engineering.
    Abstract: The book presents original contributions to the theories and practices of emerging internet, data, and web technologies and their applicability in businesses, engineering, and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, and mobile web services. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. Researchers, software developers, practitioners, and students interested in the field of data and web technologies will find this book useful and a reference for their activity.
    DOI: 10.1007/978-3-031-53555-0
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  • 21
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    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) : Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 2 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542886
    Language: English
    Pages: 1 Online-Ressource(X, 295 p. 153 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 931
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Economic development. ; Environmental sciences ; Agriculture.
    Abstract: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.
    DOI: 10.1007/978-3-031-54288-6
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  • 22
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    Proceedings of World Conference on Information Systems for Business Management : ISBM 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983469
    Language: English
    Pages: 1 Online-Ressource(XVIII, 487 p. 132 illus., 106 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 833
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence ; Business information services.
    Abstract: Chapter 1: Tesla - Twitter Merger – A Revolution in business through Social Networks -- Chapter 2: Risk Management for Artificial General Intelligence by Limited Liability Companies -- Chapter 3: Pod Migration with Optimized Containers using Persistent Volumes in Kubernetes -- Chapter 4: Information Systems in Large Scale Government Projects in India: A Case Study of PMAY -- Chapter 5: mHealth Apps on the Rise: Exploring the Influence of App and Individual Characteristics on Adoption -- Chapter 6: Study of power optimization algorithms for secure communication with untrusted AF relays -- Chapter 7: GAN based Anomaly Intrusion Detection for Industrial Controller System -- Chapter 8: A Communication Architecture Approach for Mitigating Complexities in Smart Manufacturing Units by means of Information Appropriateness -- Chapter 9: A Survey on Taxonomy of Data Governance for Cloud Based Services -- Chapter 10: Optimal Allocation of Mobile Finance Company Agents Using Convex Hull Optimization. etc.
    Abstract: This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, during September 7–8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
    DOI: 10.1007/978-981-99-8346-9
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  • 23
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    AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819987030
    Language: English
    Pages: 1 Online-Ressource(XXXIX, 743 p. 474 illus., 390 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1081
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Power electronics. ; Telecommunication.
    Abstract: Model Identification of Gas-Fired Industrial Furnace -- Lyapunov-based Controller for Bilinear Model Applied to Gas-fired Furnace -- Automatic Generation Control based Sliding Mode Observer Design for Multi-Area Multi-Source Power Systems -- The PID Speed Controller implementation Using Online-GA for Permanent Magnet Synchronous Motor Drive -- Research, Design and Control a New Fresh Orange Juice Vending Machine -- Integration of Image-Based Object Identification and Distance Estimation Algorithm for Field Operational Test System of Self-Driving Vehicles -- Robot Gesture Control Using Online Feedback Data with Multi-Tracking Capture System -- Adaptive Sliding Mode Control for Parallel Manipulator Hexapod -- A Study of Optimal Control for Under-actuated Parallel type – Triple Furuta Pendulum -- Passage Detection of a Train via a Reference Point -- User Grouping and Relay Selection for Improving Outage Performance of Downlink Wireless Systems -- Priority-based uplink raw slot utilization in the IEEE 802.11ah networks -- A Perfect Knife - bulk decompilation and preprocessing tool.
    Abstract: This proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.
    DOI: 10.1007/978-981-99-8703-0
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    Applied Multi-objective Optimization (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819703531
    Language: English
    Pages: 1 Online-Ressource(XI, 170 p. 60 illus., 45 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Algorithms.
    Abstract: Chapter 1 : An Introduction to Multi-objective Optimization using Meta-heuristic Algorithms: Techniques and Applications -- Chapter 2 : Counterfactual Explanations and Federated Learning for Multi-objective Optimization -- Chapter 3: Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with Tunned Mass Damper -- Chapter 4: Evolutionary Approaches for Multi-objective Optimization and Pareto-Optimal Solution Selection in Data Analytics -- Chapter 5 : Multi-objective Lichtenberg Algorithm for Optimum Design of Truss Structures -- Chapter 6 : Performance Analysis of Multi-objective Function-Based Fractional PID Controller for System Frequency Regulation -- Chapter 7: Multi-Modal Routing in Urban Transportation Networks using Multi-objective Quantum Particle Swarm -- Chapter 8 : Plant Leaf Disease Localization and Severity Measurement using Multi-objective Ant Colony Optimization -- Chapter 9 : Multi-objective Feature Selection: A Comprehensive Review -- Chapter 10 :Enhancing Feature Selection using Multi-objective Optimization Concept.
    Abstract: The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science. .
    DOI: 10.1007/978-981-97-0353-1
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  • 25
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    Evolutionary Artificial Intelligence : Proceedings of ICEAI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984381
    Language: English
    Pages: 1 Online-Ressource(XIV, 568 p. 286 illus., 211 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing. ; Algorithms.
    Abstract: Empowering Multilingual Abstractive Text Summarization: A Comparative Study of Word Embedding Techniques -- A more effective ensemble ML method for detecting breast cancer -- Model Accuracy Test for Early Stage of Diabetes Risk Prediction with Data Science Approach -- Financial Statement Fraud Detection using Optimized Deep Neural Network -- Managing Operations in Chaotic Environments with Evolutionary Software Agents -- Identification of Plant Leaf Disease using Synthetic Data Augmentation ProGAN to Improve the Performance of Deep Learning Models -- IoT and Satellite Image Driven Water Quality Monitoring and Assessment Method in Coastal Region -- Machine Learning-powered Cloud-based Text Summarization -- Image Classification Using Few Shot Learning -- A Survey on Thyroid Nodule Detection and Classification -- XGBoost tuned by hybridized SCA metaheuristics for intrusion detection in healthcare 4.0 IoT systems -- Chaotic Biogeography Based Optimization using Deep Stacked Auto Encoder for Big DataClassification -- CigaretteCNN: A Convolutional neural network for detecting cigarette smoking activity -- Predicting Customer Churn in Subscriptio n-Based Enterprises Using Machine Learning -- Improved Edge Detection for Brain Tumor using Multi-Threading and Advanced Parallelism -- Impact of Artificial Intelligence on Investment: A Narrative Review -- Power Quality Conditioner with Hybrid Ant Colony Optimization -- Diagnosis of Early Cardiac Disease by Applying Machine Learning Algorithms -- Fault-Tolerant Mobile Agent System using eXtensible Volunteer Algorithm enabled Dynamic Role Based Access Control in a Conclave Environment -- Hyperparameter Tuning by Evolutionary Algorithm for Object Detection on Multimodal Satellite Imagery -- Comparative Examination of Credit Card Fraud Detection Using Machine Learning Algorithms -- Wagging Based Whale Optimization Algorithm To Enhance The Prediction of Intrusions In IoT Network -- Redefining Leadership in the Age of AI: Tools, Applications, and Limitations -- Happiness Index: Prediction with Machine Learning -- Malicious Domain Detection using Random Indexing and Machine Learning -- Multi Objective Neuro Evolution Based Xception For Fault Detection In Edge System -- Deep Neuro Evaluation With Stacked Auto Encoders Opimization For Biomedical Cancer Text Classification.
    Abstract: This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.
    DOI: 10.1007/978-981-99-8438-1
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    Human-Friendly Robotics 2023 : HFR: 16th International Workshop on Human-Friendly Robotics (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031550003
    Language: English
    Pages: 1 Online-Ressource(XII, 242 p. 108 illus., 102 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Proceedings in Advanced Robotics 29
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence.
    Abstract: A Concise Overview of Safety Aspects in Human-Robot Interaction -- A Hybrid Control Approach for a Pneumatic-actuated Soft Robot -- BICEP: a Bio-Inspired Compliant Elbow Prosthesis -- Development of a Patient Behaviour Model for an Adaptive Medical Robot -- Emotion-Aware Control Framework for Human-Robot Collaboration.
    Abstract: Comprising sixteen independent chapters, this book covers recent advancements and emerging pathways within human-friendly robotics on physical and cognitive levels. Each chapter presents a novel work presented at HFR 2023 by researchers from various robotic domains, where new theories, methodologies, technologies, challenges, and empirical and experimental studies are discussed. The multidisciplinary nature of the authors enriches the compilation with varied viewpoints, making it an excellent resource for academics, researchers, and industry professionals to get acquainted with the state of the art on human-robot interaction.
    DOI: 10.1007/978-3-031-55000-3
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    Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031540530
    Language: English
    Pages: 1 Online-Ressource(XIII, 709 p. 283 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 921
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication.
    Abstract: Cognitive Programming Assistant -- Correcting User Decisions Based on Incorrect Machine Learning Decisions -- On Graphs Defined by Equations and Cubic Multivariate Public Keys -- System Tasks of Digital Twin in Single Information Space -- Smart City, Big Data, Little People: A Case Study on Istanbul’s Public Transport Data -- Educommunication as a Communicative Strategy for the Dissemination of Cultural Programs -- On Implemented Graph-based Generator of Cryptographically Strong Pseudorandom Sequences of Multivariate Nature -- Fengxiansi Cave in the Digital Narrative -- Lambda Authorizer Benchmarking Tool with AWS SAM and Artillery Framework -- Hardware and Software Integration of Machine Learning Vision System Based on NVIDIA Jetson Nano.
    Abstract: The book is a valuable collection of papers presented in the Future of Information and Communications Conference (FICC), conducted by Science and Information Organization on 4–5 April 2024 in Berlin. It received a total of 401 paper submissions out of which 139 are published after careful double-blind peer-review. Renowned and budding scholars, academics, and distinguished members of the industry assembled under one roof to share their breakthrough research providing answers to many complex problems boggling the world. The topics fanned across various fields involving Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and Privacy.
    DOI: 10.1007/978-3-031-54053-0
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819983247
    Language: English
    Pages: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 839
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.
    Abstract: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-99-8324-7
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    Towards Ulam Type Multi Stability Analysis : A Novel Approach for Fuzzy Dynamical Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555640
    Language: English
    Pages: 1 Online-Ressource(XIX, 571 p. 29 illus., 27 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 523
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Dynamics. ; Nonlinear theories. ; Engineering mathematics.
    Abstract: Introduction -- The Hypergeometric, Supertrigonometric, And Superhyperbolic Functions.-The Wright, Supertrigonometric And Superhyperbolic Functions -- The Mittag-Leffler, Supertrigonometric, And Superhyperbolic Functions -- The Wiman, Supertrigonometric, And Superhyperbolic Functions -- The Prabhakar, Supertrigonometric, And Superhyperbolic Functions -- The Sonine, Supertrigonometric And Superhyperbolic Functions -- Other Special Functions, Supertrigonometric And Superhyperbolic Functions -- Preliminaries -- Multi Stability Of The Jensen Type Random Operator Equations In C*-Algebras -- Super Multi Stability Of Additive Functional Inequalities In Banach Algebras -- Multi Stability Of Tri-Additive Functional Inequalities In Unital C*-Algebras -- Multi Stability Of Fractional-Order Systems I -- Multi Stability Of Fractional-Order System II -- Fuzzy Topological Spaces -- Multi Stability Of Pseudo Stochastic Tri{Additive Fuzzy Operator Inequalities In MVFC-\Diamond-Algebras -- Multi Stability Of Additive-Additive Fuzzy Functional Inequalities In MVFC-\Diamond-Ternary Algebras -- Multi Stability Of Pseudo Stochastic Additive Fuzzy Operator Inequalities In MVFB-Algebras -- Multi Stability Of Fractional-Order Volterra Equations In MVFB-Spaces -- Multi Stability Of Fractional-Order System I In MVFB-Spaces -- Multi Stability Of Fractional-Order System II In MVFB-Spaces -- The Matrix Mittag-Leffler Function And Nonlinear Fractional Integro-Differential Equations.
    Abstract: The main target of this book is to present a new concept of Ulam-type stability, i.e., multi-stability, through the classical, well-known special functions and to obtain the best approximation error estimates by a different concept of perturbation stability including fuzzy approaches for uncertainty considerations. This stability allows us to obtain diverse approximations depending on various special functions that are initially chosen and to evaluate maximal stability and minimal error which enable us to obtain a unique optimal solution of functional equations, inequalities, and fractional equations. Stability analysis in the sense of the Ulam and its different kinds has received considerable attention from the researchers. However, how to effectively generalize the Ulam stability problems and to evaluate optimized controllability and stability are new issues. The multi-stability not only covers the previous concepts but also considers the optimization of the problem and provides a comprehensive discussion of optimizing the different types of the Ulam stabilities of mathematical models used in the natural sciences and engineering disciplines with fuzzy attitudes. Besides, this book also deals with nonlinear differential equations with various boundary conditions or initial value problems, based on the matrix Mittag-Leffler function, fixed point theory, as well as Babenko's approach to study uniqueness and existence of solutions. In general, the benefits for the readers can be concluded as follows: 1. Evaluates maximal stability with minimal error to get a unique optimal solution. 2. Discusses an optimal method of the alternative to study existence, uniqueness, and different types of Ulam stabilities under special consideration of the fuzzy approaches. 3. Delves into the new study of boundary value problems of fractional integro-differential equations with integral boundary conditions and variable coefficients.
    DOI: 10.1007/978-3-031-55564-0
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    Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031602153
    Language: English
    Pages: 1 Online-Ressource(XXI, 228 p. 73 illus., 66 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 985
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves -- Framework for Real-time Predictive Maintenance supported by Big Data Technologies -- Emotional evaluation on open-ended responses with transformer models -- Big data analytics in the supply chain: a bibliometric review of scholarly research from 2012 to 2023 -- Human-machine interface based on electromyographic (EMG) signals aimed at limb rehabilitation for diabetic patients -- Incidence assessment of diabetes by delegation in the United Mexican States applying the multilayer perceptron neural network -- Exploiting Physarum-inspired Vacant Particle Transport Model to Redesign an Enterprise Network -- SIMULATION OF AUTONOMOUS DRIVING SYSTEMS FOR THE CITY OF MACAS USING MATLAB DRIVING SCENARIO DESIGN APP.
    Abstract: This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
    DOI: 10.1007/978-3-031-60215-3
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    Human Factors and Ergonomics Toward an Inclusive and Sustainable Future : HFEM 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031608636
    Language: English
    Pages: 1 Online-Ressource(XVI, 545 p. 172 illus., 122 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Series in Design and Innovation 46
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Technological innovations. ; Cognitive psychology.
    Abstract: This book gathers the refereed proceedings of the 5th HFEM Biennial Conference on Human Factors and Ergonomics, organized by the Human Factors and Ergonomics Society Malaysia, held in Langkawi, Malaysia on August 13–18, 2023. Under the theme "Accelerating Human Factors and Ergonomics Toward an Inclusive and Sustainable Future", it highlights the latest theories and models, as well as cutting-edge technologies and applications on human factors and ergonomics. By combining findings from a range of disciplines including engineering, design, robotics, health care, management, computer science, human biology, and behavioral science, it offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety, and well-being of individuals. It includes papers from researchers and practitioners, scientists and physicians, institutional leaders, managers, and policy makers that contribute to constructing the human factors and ergonomics approach across a variety of methodologies, domains, and productive sectors.
    DOI: 10.1007/978-3-031-60863-6
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    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
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    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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    Intelligent Systems for Smart Cities : Select Proceedings of the 2nd International Conference, ICISA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819969845
    Language: English
    Pages: 1 Online-Ressource(XII, 535 p. 205 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Sustainable architecture.
    Abstract: Manifesta: An Event Management Platform Using Recommendation System -- An Empirical Study on the Information Security Threats due to Remote Working Environments -- Intelligent Surveillance Tower for Detection of the Drone from the other aerial objects using Deep learning -- A Hybrid Ensemble Machine Learning Approach (EHML) for DDOS attack Detection in Smart City Network Traffic -- Identifying Instances of Cyberbullying on Twitter Using Deep Learning -- Machine Learning Techniques for Real-Time Human Face Recognition -- Image Steganography Using Particle Swarm Optimization -- Intelligent Inventory Management in Retail Stores using Four State of the Art Object Detection models -- Supply Chain Risk Management through Zero-Trust Architecture -- Solution of Goal Programming Product Mix Problem with Cohort Intelligence Algorithm -- QuickTag: A Machine Learning Based Automated Toll Collection System Using Optical Character Recognition -- IoT Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach -- Localised Land-Use Classification using U-Net & Satellite Imaging -- An Intelligent Fire Extinguisher Monitoring System for Smart Cities -- Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET -- Safety and Disasters Evaluation in the Civil Aviation of Iran -- Impact of Deepfakes and Gradient Centralization on COVID-19 Diagnosis: A Compact Swin Transformer based Approach -- A Deep Learning Pipeline for Cervical Cancer Detection -- Heuristic Neural Network for Thermography Breast Cancer Detection -- Recognizing Raga of Indian Classical Songs using Regular Expressions -- Offline Handwritten Multilingual Numeral Recognition using CNN -- An Analytical Study for Implementing 360-degree m-HRM Practices Using Amazon Mechanical Turk and Machine Learning in IT Sector -- Buffer Allocation in Unreliable Production Lines using Infinitesimal Perturbation Analysis and Genetic Algorithm -- A predictive system for efficient Portfolio Management: An application of ANN and Technical Indicators -- IoT-based Smart System for Real-time Drowsy Driver Detection and Response.
    Abstract: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
    DOI: 10.1007/978-981-99-6984-5
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    Intelligent Manufacturing System and Intelligent Workshop : Parameter Optimization, Process Planning, Workshop Scheduling, Typical Case (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819920112
    Language: English
    Pages: 1 Online-Ressource(VIII, 237 p. 78 illus., 41 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advanced and Intelligent Manufacturing in China
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering. ; Artificial intelligence.
    Abstract: Introduction to Intelligent Manufacturing -- Intelligent optimization of cutting parameters -- Intelligent Optimization of Process Plans -- Intelligent Workshop and Scheduling -- Intelligent Integration of Process Planning and Scheduling -- Case of Intelligent Manufacturing.
    Abstract: This book focuses on the basic common technologies of smart manufacturing system and smart workshop. The applications of artificial intelligence in manufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. In the process of writing, this book highlights the combination of basic theory and engineering practice. In the basic theory part, the book clearly explains the basic issues of smart manufacturing system, including the core support technology of smart manufacturing, the basic theories and models of cutting parameter optimization, process optimization and scheduling, and the basic concepts and intelligence of smart manufacturing workshop model, optimization methods, etc. In the engineering practice part, this book enumerates a large number of research cases, trying to clearly demonstrate the basic problems of manufacturing system intelligence, and each chapter is accompanied by typical cases to help readers better understand and master the basic theories involved in stamping.
    DOI: 10.1007/978-981-99-2011-2
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    Data Intelligence and Cognitive Informatics : Proceedings of ICDICI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819979622
    Language: English
    Pages: 1 Online-Ressource(XIII, 586 p. 313 illus., 247 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Internet of things. ; Cooperating objects (Computer systems).
    Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
    DOI: 10.1007/978-981-99-7962-2
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    Statistics and Data Analysis for Engineers and Scientists (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819946617
    Language: English
    Pages: 1 Online-Ressource(IX, 180 p. 259 illus., 230 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Computer Systems and Networks
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Quantitative research. ; Mathematical statistics ; Engineering
    Abstract: General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
    Abstract: This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. .
    DOI: 10.1007/978-981-99-4661-7
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    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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  • 38
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978175
    Language: English
    Pages: 1 Online-Ressource(XX, 597 p. 294 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 820
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices -- Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7817-5
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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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  • 40
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    Emerging Technologies in Electrical Engineering for Reliable Green Intelligence : Proceedings of ICSTACE 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819992355
    Language: English
    Pages: 1 Online-Ressource(XII, 556 p. 296 illus., 236 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1117
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Closed-loop Control of Modified Switched Inductor Boost Converter with High Voltage Gain and Reduced Switch Voltage Stress -- Optimal sizing of PV/Wind/Battery grid-connected hybrid renewable energy systems using TLBO algorithm -- Performance Enhancement of AC Microgrid using Robust Control Strategies in Modern Power Systems -- Solar Photovoltaic Installation in Eight Educational Institutions in District Faridabad: A Case Study -- Regulated and Deregulated Control of a Pseudo Pancreas Using an Inflated Ant Colony Optimization technique -- Trust Value Method for False Data Injection Detection in Smart Grid.
    Abstract: The book includes peer-reviewed papers from the International Conference on Sustainable Technology and Advanced Computing in Electrical Engineering (ICSTACE 2023). The main focus of the book is to provide the global perspective of sustainable research related to computer advancement in electrical engineering. This involves the areas related to sustainable development. This volume covers artificial intelligence, machine learning, the Internet of Things (IoT), cloud computing, big data analysis, blockchain, cyber security of the smart grid, etc. The book focuses on the areas related to sustainable development and includes research works from academicians and industry experts. The book discusses new challenges and provides solutions at the interface of technology, information, complex systems, and future research directions. .
    DOI: 10.1007/978-981-99-9235-5
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  • 41
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    Reliability and Statistics in Transportation and Communication : Selected Papers from the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Digital Twins - From Development to Application, RelStat-2023, October 19-21, 2023, Riga, Latvia (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031535987
    Language: English
    Pages: 1 Online-Ressource(X, 630 p. 169 illus., 146 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 913
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Transportation engineering. ; Traffic engineering. ; Statistics .
    Abstract: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2023), which took place as a hybrid event on October 19 – 21, 2023, in/from Riga, Latvia. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the digitalization of transport systems, as well as smart, artificial intelligence, and digital twins applications.
    DOI: 10.1007/978-3-031-53598-7
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  • 42
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    Synergetic Cooperation Between Robots and Humans : Proceedings of the CLAWAR 2023 Conference—Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031472695
    Language: English
    Pages: 1 Online-Ressource(XXIX, 264 p. 169 illus., 148 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 810
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence.
    Abstract: Biped walking with robots and exoskeletons: Marching towards bionic gait -- Multibody dynamics with contact-impact events: Roots, models and applications -- Human-like bipedal locomotion -- Analysis of the influence of human exposure to risk and ESG as motivators for the implementation of climbing and mobile robots -- Multidimensional map: A conceptual design tool to develop robots for power lines -- Mobility strategy of multi-limbed climbing robots for asteroid exploration.
    Abstract: CLAWAR 2023 is the 26th International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies. The conference is organized by CLAWAR Association in collaboration with the Federal University of Santa Catarina, Florianópolis, Brazil, during October 2–4, 2023. This book provides the latest research and development findings and state-of-the-art insights into the mobile robotics and associated technologies in a diverse range of application scenarios, within the framework of “Synergetic Cooperation Between Robots and Humans”. The topics covered include climbing and inspection robots, education in robotics and robotics in education, hybrid and convertible UAVs, legged robots, multibody systems and mechanism design in robotics, planning and control, robotic navigation, robotics and neurotechnologies for healthcare improvements, and simulation and digital twins in robotic applications. The intended readership includes participants of CLAWAR 2023 conference, worldwide researchers, scientists, and educators in the areas of robotics and related topics. The book is also a good source for courses in robotics and automation, control engineering, mechanical engineering, and mechatronics.
    DOI: 10.1007/978-3-031-47269-5
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    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) : Advanced Intelligent Systems on Digital Health Technology, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031523885
    Language: English
    Pages: 1 Online-Ressource(XI, 478 p. 198 illus., 147 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 904
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Environmental sciences
    Abstract: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.
    DOI: 10.1007/978-3-031-52388-5
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  • 44
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    Human-Centric Smart Computing : Proceedings of ICHCSC 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819977116
    Language: English
    Pages: 1 Online-Ressource(XXX, 703 p. 307 illus., 254 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 376
    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 ; Computer networks
    Abstract: Registration of CT Images of Lung Using Fireworks Algorithm -- Exploring Microinteractions in Human–Computer Interaction: Design Principles, Types, and User Experience -- Opinion Mining-Based Predictive Model Based on Social Media Responses -- Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- Currency Recognition App for Blind People.
    Abstract: This book includes high-quality research papers presented at the Second International Conference on Human-Centric Smart Computing (ICHCSC 2023), organized by the University of Engineering and Management, Jaipur, India, on 5–6 July 2023 in New Delhi, India. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry.
    DOI: 10.1007/978-981-99-7711-6
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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
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    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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    Applications of Ant Colony Optimization and its Variants : Case Studies and New Developments (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819972272
    Language: English
    Pages: 1 Online-Ressource(IX, 229 p. 87 illus., 68 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Mathematical optimization. ; Artificial intelligence.
    Abstract: Ant Colony Optimization -- Advancements in Rank-based Ant System -- Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review -- Diagnosis Support for Diabetes with Ant Colony Optimization -- Opposed Pheromones Ant Colony Optimization for Property Identification of Nonlinear Structures.
    Abstract: This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care. Marco Dorigo proposed ACO for the first time, and it has been used to solve a variety of optimization problems. This book presents the latest developments of ACO.
    DOI: 10.1007/978-981-99-7227-2
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  • 47
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    Software Engineering Methods in Systems and Network Systems : Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 1 (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031535499
    Language: English
    Pages: 1 Online-Ressource(XV, 463 p. 220 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 909
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Software engineering.
    Abstract: An Artificial Intelligence-based Concept and Survey for Personalized Learning in schools in the Republic of Bulgaria -- 0/1 1-D bin packing problem solved by a recent nature-inspired optimizer -- Orca predator algorithm for feature selection -- Skeleton Detection Using MediaPipe as a Tool for Musculoskeletal Disorders Analysis -- Pipeline leakage detection via Extreme Seeking Entropy -- Secure Data Transmission Scheme in Wireless Sensor Network Resisting Unknown Lethal Threats -- Deep Reinforcement Learning-Based Task Offloading in Multi-access Edge Computing for Marine IoT -- Information and Communication Skills for Higher Learners Competence Model -- Smart solution for public lighting in the municipality -- A Review Paper On Biometric Authentication And Geospatial Data – Case of Zambia.
    Abstract: This book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.
    DOI: 10.1007/978-3-031-53549-9
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    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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  • 49
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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819975693
    Language: English
    Pages: 1 Online-Ressource(XIX, 494 p. 195 illus., 150 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 803
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. Design and Development of a Low Cost Multi-functional Wheel Chair with Patient Monitoring and Obstacle Detection -- 2. OpenAI ChatGPT and the Accelerated Spread of Biased Information -- 3. Towards new challenges of modern Pentest -- 4. Relationship of IT Governance Domain with A Case Study of the Application of “One Price Fuel in Indonesia” by National Oil Company -- 5. Design and Implementation of IoT System with Intelligent Solar Charger Controller -- 6. Challenges in Building Smart and Sustainable Hybrid Microsystems with Renewable Sources for Powering Individual Residences -- 7. Effective Resource Provisioning Scheme for Kubernetes Infrastructure -- 8. Confirming Secure Interoperability in Mobile Financial Services: Challenges of Data Federation and Cryptography based Solution -- 9. Implementation of Applied Artificial Intelligence for Urban Transportation Management -- 10. The Value of Proactive Data for Intelligent Contracts.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security, and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-7569-3
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  • 50
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    Information Systems and Technologies : WorldCIST 2023, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031456428
    Language: English
    Pages: 1 Online-Ressource(XXII, 601 p. 220 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 799
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering ; Application software.
    Abstract: Physarum-Inspired Enterprise Network Redesign -- Improving LoRaWAN RSSI-based Localization in Harsh Environments: The Harbor Use Case -- Impact of traffic sampling on LRD estimation -- Features Extraction and Structure Similarities Measurement of Complex Networks -- Technology use by Africa smallholder farmers and the significant mediating factors -- Balancing Plug-in for Stream-based Classification -- Explainable Classification of Wiki Streams -- Reconstruction of meteorological records with PCA-based Analog Ensembles methods.-Analysis of the characteristics of different peer-to-peer risky loans -- Physics-Informed Autoencoders with Intrinsic Differential Equations for Anomaly Detection in Industrial Processes.
    Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.
    DOI: 10.1007/978-3-031-45642-8
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    Remote Investment Transactions in the Digital Age : Perception, Techniques, Law Regulation (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031515361
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 365 p. 29 illus., 10 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 250
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Financial engineering. ; Computational intelligence.
    Abstract: 1. Introduction -- Part I. Remote transactions in the investment segment of the Internet: an ecosystem approach to the research -- Chapter 1. Platform ecosystems in the investment segment of the Internet: institutional and organizational aspects -- Chapter 2. Modern information space as a set of electronic web platforms for the turnover of the investment objects -- Chapter 3. Remote investment transactions in the digital space: the essence and types -- Chapter 4. Digital financial assets as the objects for remote digital investment transactions: evolution and worldwide experience. Chapter 5. Central bank digital currencies (CBDC): current situation and development prospects in the global economy.
    Abstract: The book contains the results of the best research developments obtained during the implementation of major scientific events organized and carried out with the financial support of the Russian Science Foundation and the President of the Russian Federation. The scientific novelty of the work lies in the fact that for the first time at the level of Russian and international interdisciplinary social and humanitarian sciences, primarily economic and legal, firstly, philosophical concepts and regulatory legal approaches to the regulation of remote investment transactions have been studied; secondly, a set of economic and legal conditions and means of harmonizing and observing the mutual interests of participants in remote investment transactions has been developed and proposed in order to prevent and minimize potential conflicts between the parties; thirdly, the current state and international regulation of investment transactions concluded and executed on Internet platforms was critically assessed; fourthly, a system of guarantees and protection of the rights of participants in remote investment transactions is proposed, including special contractual structures and an economic and legal model for the proper fulfillment of obligations. Measures are substantiated to expand and increase the intensity of the national investment turnover based on the improvement of the current legislation regulating investments through remote digital technologies in the Internet space, which provided a solution to the world scientific problem of great socioeconomic and economic importance. The book is designed for a wide target audience—scientists of different generations, different disciplinary and industry affiliations. Among them are young researchers, as well as scientists who have received recognition from the world scientific community, studying the socioeconomic, managerial, and legal consequences of the emergence and spread of digital technologies in the field of investment. Readers can be all individuals and legal entities interested in the development of digital technologies in the field of investment.
    DOI: 10.1007/978-3-031-51536-1
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    Computational Intelligence in Healthcare Informatics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988532
    Language: English
    Pages: 1 Online-Ressource(XXXIII, 388 p. 160 illus., 117 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1132
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases -- Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges -- A Review on Metaheuristic Approaches for Optimization Problems -- Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning -- Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population.
    Abstract: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.
    DOI: 10.1007/978-981-99-8853-2
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    Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031452529
    Language: English
    Pages: 1 Online-Ressource(XX, 267 p. 43 illus., 41 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Industrial Control
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Engineering mathematics. ; Engineering ; Computational intelligence. ; Automotive engineering.
    Abstract: 1. Introduction -- 2. Background on Integral and Inverse Reinforcement Learning for Dynamic System Feedback -- 3. Integral Reinforcement Learning for Optimal Regulation -- 4. Integral Reinforcement Learning for Optimal Tracking -- 5. Integral Reinforcement Learning for Nonlinear Tracker -- Integral Reinforcement Learning for H-infinity Control -- 6. Inverse Reinforcement Learning for Linear and Nonlinear Systems -- 7. Inverse Reinforcement Learning for Two-Player Zero-Sum Games -- 8. Inverse Reinforcement Learning for Multi-player Nonzero-sum Games.
    Abstract: Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas. Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains – aircraft, robotics, power systems, and communication networks among them – with theoretical insights valuable in tackling the real-world challenges they face.
    DOI: 10.1007/978-3-031-45252-9
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    A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics : Theory and Applications (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031504921
    Language: English
    Pages: 1 Online-Ressource(XV, 315 p. 120 illus., 23 illus. in color.)
    Edition: 2nd ed. 2024.
    Series Statement: Studies in Fuzziness and Soft Computing 432
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomathematics. ; Biometry.
    Abstract: Fuzzy Sets Theory and Uncertainty in Mathematical Modeling -- The Extension Principle of Zadeh and Fuzzy Numbers -- Fuzzy Relations -- Notions of Fuzzy Logic -- Fuzzy Rule-Based Systems -- Fuzzy Relational Equations and Approximation -- Measure, Integrals and Fuzzy Events -- Fuzzy Dynamical Systems.
    Abstract: This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it presents some concepts of derivatives, integrals and differential equations applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented, mainly in biomathematics where the so-called p-fuzzy systems play an important role. The book has been developed on the basis of the authors’ lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical consultants and modelers, and for researchers alike, as it may provide both groups with new ideas and inspirations for projects in the fields of fuzzy logic and biomathematics. This thoroughly updated second edition includes a new chapter on fuzzy optimization, which also presents an application in carbon markets analysis and modeling.
    DOI: 10.1007/978-3-031-50492-1
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    Proceedings of International Joint Conference on Advances in Computational Intelligence : IJCACI 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819701803
    Language: English
    Pages: 1 Online-Ressource(XIV, 813 p. 305 illus., 242 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Natural language processing (Computer science). ; Artificial intelligence
    Abstract: Conversational Swarm Intelligence (CSI) enhances groupwise deliberation -- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images -- Minimization of Structural Systems Eccentricity by means of the Imperialist Competitive Algorithm -- Towards Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach -- Data Hiding System based on variations in Image Interplation algorithms -- Fault assessment and early performance prediction of PV module using machine learning -- Speeding classification by a deep learning audio analysis system optimized by the reptile search algorithm -- Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis -- A Comprehensive Review on Prediction of Blood Glucose Level in Type-1 Diabetic Using Machine Learning Techniques -- Effect of Phosphorylation on the Circadian Clock of Drosophila by Analytical and Graph Theory Matrix Approach -- Exploiting Deep Learning Techniques for Autistic Face Recognition -- A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies and Case Studies -- Potato Leaf Disease Detection and Classification Using VGG16 -- Assessing Student Engagement Levels Using Speech Emotion Recognition -- K-means Clustering and Support Vector Machine for Assamese Dialect Identification -- Emotion recognition in speech using Convolutional Neural Networks (CNNs) -- Single Value Neutrosophic Virtual Machine Resources Optimization Route Selection in Multimodal Transport Networks Incorporating Disruption -- A Smart Surveillance System to detect modern gun using YOLOv5 algorithm: A Deep Learning Approach -- A Comparative Analysis of models for Dark Web Data Classification.
    Abstract: This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
    DOI: 10.1007/978-981-97-0180-3
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    Developments and Advances in Defense and Security : MICRADS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819988945
    Language: English
    Pages: 1 Online-Ressource(XII, 238 p. 48 illus., 40 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 380
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Politics and war. ; Signal processing.
    Abstract: Strategic positions of actors related to the defense industry in Ecuador -- Critical Factors on Lean Implementation to the Portuguese Aeronautic Industry -- Prioritization of Maintenance Repair Overhaull Capabilities Development for Military Aviation -- Evaluation of different substrates for electrodeposition of riboflavin films for determination of boric acid in eye drops -- Integrating random linear network coding and content delivery networks for reduced latency in heterogeneous network processing of mobile devices -- Artificial Intelligence Applications in Military Logistics Operations -- Artificial Intelligence Based Drowsiness Detection System for Driver Safety -- Impact of an Augmented Reality Environment in Learning Computer Networks Principles -- The impact of numerical shifts on the field artillery firing accuracy -- Management of operational usability requirements: the key to saving resources and good performance of military materials -- ChatGPT to motivate Critical Thinking inthe teaching-learning process of first semester students at the Technical University of Ambato -- Digital and traditional channels in the internal communication of a university in Peru -- Characteristics of Leadership in a Military Context: Systematic Literature Review by PRISMA Method -- Brand image mediated by satisfaction through organizational culture and cultural hierarchy. A study in the technical school of the army -- Open RCS: an open-source platform for numerical evaluation of Radar Cross Section of 3D targets -- Intrinsic and Existential Risks Due to Dual-Use Tools.
    Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2023), held at Graduate School of the Colombian Air Force, in Bogota, Colombia, during July 6–8, 2023. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
    DOI: 10.1007/978-981-99-8894-5
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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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    Type-3 Fuzzy Logic in Time Series Prediction (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031597145
    Language: English
    Pages: 1 Online-Ressource(VIII, 99 p. 73 illus., 67 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering mathematics.
    Abstract: Chapter1. Type-3 Fuzzy Prediction -- Chapter 2. Type-3 for Prediction -- Chapter 3. Type-3 Fuzzy Logic in Time Series Prediction -- Chapter 4. Prediction with a Hybrid Interval Type-3 Fuzzy-Fractal Approach -- Chapter 5. Type-3 Fuzzy Aggregation of Neural Networks.
    Abstract: This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various prediction problems and find better results. In addition, neural networks and fractal theory are employed in enhancing prediction results. In this regard, several hybrid intelligent methods are offered. In this book we test the proposed methods using several prediction problems, like predicting COVID-19 and the stock market. We can notice that when Type-3 fuzzy systems are implemented to model the behavior of systems, the results in prediction are enhanced, because the management of uncertainty is better. For this reason, we consider in this book the proposed methods using type-3 fuzzy systems, neural networks and fractal theory to improve the prediction behavior of the complex nonlinear systems. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving complex prediction problems. This book can also be used as a reference for graduate courses like the following: soft computing, fuzzy logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.
    DOI: 10.1007/978-3-031-59714-5
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    Multi-Strategy Learning Environment : Proceedings of ICMSLE 2024 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819714889
    Language: English
    Pages: 1 Online-Ressource(XVI, 717 p. 279 illus., 241 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Natural language processing (Computer science). ; Game theory.
    Abstract: The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.
    DOI: 10.1007/978-981-97-1488-9
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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
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    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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    Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819713264
    Language: English
    Pages: 1 Online-Ressource(XX, 519 p. 180 illus., 128 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 947
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS -- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains -- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study -- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques -- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation -- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems -- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions -- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data -- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain -- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
    DOI: 10.1007/978-981-97-1326-4
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    Metaverse for Industry 5.0 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819724550
    Language: English
    Pages: 1 Online-Ressource(XI, 70 p. 10 illus., 9 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things.
    Abstract: Chapter 1:Introduction.-Chapter 2: HR in the metaverse -The progress needed for the metaverse to transform HR.-Chapter 3: Benefits of Metaverse for HR.-Chapter 4: Maximizing HR Potential in the Metaverse vs Limitations & Challenges.-Chapter 5: People and machines in harmony -- Chapter 6: Industry 5.0 and employee satisfaction.-Chapter 7: Relationship between metaverse and industry 5.0.-Chapter 8:The technologies involved in the industrial metaverse.-Chapter 9: Motivation behind the Integration of the Metaverse with Industry 5.0 -- Chapter 10 :Web2 to Web3: The Changing face of digital privacy.-Chapter 11.Challenges Facing Cybersecurity in the Metaverse.-12. Industrial metaverse is transforming businesses: real-world use cases.-Chapter 13. The potential of the Metaverse in manufacturing.-Chapter 14. Metaverse in construction sector.-Chapter 15. Application of Metaverse Service to Healthcare Industry.-Chapter 16. Conclusions.
    Abstract: This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.
    DOI: 10.1007/978-981-97-2455-0
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    Trends and Challenges in Multidisciplinary Research for Global Sustainable Development : Proceedings of the 3rd International Conference on Applied Science and Advanced Technology (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031576201
    Language: English
    Pages: 1 Online-Ressource(XII, 192 p. 87 illus., 77 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 965
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Mechatronics. ; Energy policy. ; Energy and state.
    Abstract: Since its beginning the International Conference on Applied Sciences and Advanced Technology (ICASAT) was planned as a multidisciplinary space and as a platform to explore the frontiers of knowledge in different areas such as Machine Vision, Biotechnology, Computer Sciences, Mechatronics and, Sustainability. Also, a multidisciplinary perspective is required in all aspects of science, engineering, and research, moving towards a more complete overview of recent advances. On its third edition, ICASAT received works focused on the Trends and Challenges for Global Sustainable Development. This book is a collection of the works presented during ICASAT 2023.
    DOI: 10.1007/978-3-031-57620-1
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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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    Advances in Haptics and Virtual Reality : Proceedings of 2023 International Conference on Haptics and Virtual Reality (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031565212
    Language: English
    Pages: 1 Online-Ressource(VI, 201 p. 101 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Learning and Analytics in Intelligent Systems 37
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Engineering mathematics.
    Abstract: This book collects selected papers from the 2023 International Conference on Haptics and Virtual Reality (ICHVR 2023), held during December 15–17, 2023. ICHVR 2023 is organized by Southeast University (SEU), Shanghai Jiao Tong University (SJTU) and co-organized by the International Association of Electrical, Electronic and Energy Engineering (IAEEEE). This book gathers together latest findings and insightful ideas from innovative academics and experts in the field of Haptics, Virtual Reality, Human–Computer Interaction, Computer Vision, Computer Arts, Mobile Intelligent Device and Artificial Intelligent Algorithm. This book serves as a valuable resource for staying up-to-date with the state of the art in Haptics and Virtual Reality and serves as a catalyst for further advancements and innovation in these fields, which will provide unique perspectives for readers consisting of professionals, scientists, practitioners, researchers, and graduate students.
    DOI: 10.1007/978-3-031-56521-2
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    Proceedings of the 20th International Conference on Computing and Information Technology (IC2IT 2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031585616
    Language: English
    Pages: 1 Online-Ressource(X, 163 p. 100 illus., 65 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 973
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering
    Abstract: Chapter 1: Identifying Key Issues to Enhance the Cybersecurity Awareness Strategy within Organizations -- Chapter 2: Human-Motion Guided Frame Selection with Adaptive Gamma Correction for Violent Video Classification -- Chapter 3: Predictive Modeling of Vicat Softening Point for Low-Density Polyethylene Using GBM, XGBoost and AdaBoost: A Comparative Analysis -- Chapter 4: SDN Enabled L2 Switch Implementation and its Performance Evaluation through P4 Programming -- Chapter 5: Formal Verification of Sequence Diagram with State Invariants using Timed Automata -- Chapter 6: On Student’s Behavior Prediction for Library Service Quality Using Bidirectional Deep Machine Learning -- Chapter 7: Formal Verification of Vessel Scheduling using Probabilistic Timed Automata -- Chapter 8: Fuzzy AHP-Based Evaluation of Key Success Factors in Digital Marketing for the Food Retail Industry.
    Abstract: This book gathers the high-quality papers presented at the 20th International Conference on Computing and Information Technology (IC2IT2024), held on May 16-17, 2024, in Bangkok, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.
    DOI: 10.1007/978-3-031-58561-6
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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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    Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3 : CIPA 2023, November 2–3, Changzhou, China (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819719839
    Language: English
    Pages: 1 Online-Ressource(XI, 622 p. 188 illus., 139 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 198
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    Keywords: Computational intelligence. ; Pattern recognition systems. ; Neural networks (Computer science).
    Abstract: Design of Internet of Things Online Course Platform for Electronic Application Engineering -- Evaluation of Efficient, Energy-saving, and Environmentally Friendly Transcritical CO2 Heat Pump -- Technology Based on Deep Learning Algorithms -- Application of BP Neural Network and Artificial Intelligence Algorithm in Pharmaceutical Production -- Dynamic Panorama Virtual System Display Platform for Digital Museum Exhibition -- Adaptive Scaling Algorithm of Sports Video Image Based on Collaborative Filtering -- Construction of Financial Information Management System under Computer Network Environment -- Research on the Prediction Mechanism of Fuel Quantity of Gas Turbine Power Plant Based on Stochastic Forest Algorithm -- Extraction Algorithm of Film and Television Special Effects Based on Artificial Intelligence Technology -- Design of Urban Emergency Material Allocation Supply Chain System Based on Multimodal Information Technology -- Research on Intelligent Control of Tube Bender -- Cigarette Factory Design System Based on System Integration under BIM and Industrial Monitoring -- Urban Landscape Design Optimization System Based on Improved Particle Swarm Optimization Algorithm -- Construction of Urban Landscape Planning and Design System Based on DEM Morphological Evaluation Algorithm -- Automatic Scoring Algorithm for Sort Selection Structure in C Language Programming -- Visual Analysis of Social Practice Research of College Students Based on CiteSpace -- Design and Chemical Platform System Based on Association Rule Algorithm.
    Abstract: This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series. .
    DOI: 10.1007/978-981-97-1983-9
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    Smart Technologies for a Sustainable Future : Proceedings of the 21st International Conference on Smart Technologies & Education. Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031618918
    Language: English
    Pages: 1 Online-Ressource(XVIII, 358 p. 122 illus., 109 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 1027
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering ; Cooperating objects (Computer systems). ; Industrial engineering. ; Production engineering.
    Abstract: Fostering Experiential Learning and Situational Awareness Via Reporting and Broadcasting from Pilot Projects -- Real Estate Insights A Boardgame based Experiential Learning Approach -- Heating System Case Study For Simulation Based Control System Analysis -- Perception Of The Importance Of Laboratory Learning Objectives By Female And Male Engineering Students -- Automated Code Readability Feedback on Student Awareness -- An Easy to use Experimental Platform for Advanced Control Teaching in Wuhan University -- LLM Integration in Workbook Design for Teaching Coding Subjects -- A Research Led Contribution Of Engineering Education For A Sustainable Future -- IoT Laboratories based on Reconfigurable Platforms with Analog Coprocessor -- Sovereign Software An Open source Alternative.
    Abstract: This book includes the proceedings of the 21st International Conference on Smart Technologies & Education (STE2024). The “International Conference on Smart Technologies & Education” (STE) is an annual global meeting dedicated to the fundamentals, applications, and experiences in the field of Smart Technologies, Online, Remote, and Virtual Engineering, Virtual Instrumentation, and other related new technologies. Nowadays, online and smart technologies are the core of most fields of engineering and the whole society. Consequently, the motto of this year’s STE2024 was “Smart Technologies for a Sustainable Future”. The STE conference is the successor of the long-standing annual REV Conferences and the annual meeting of the International Association of Online Engineering (IAOE) together with the EduNet World Association (EWA) and the International Education Network (EduNet). In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Open Science and Big Data, Internet of Things and Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M and Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs and MOOLs, and Open Resources. This year, STE2024 has been organized in Helsinki, Finland as an onsite event supporting remote presentations, from March 6 until March 8, 2024. The co-organizers of STE2024 were the Arcada University of Applied Sciences, the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC), the International Education Network (EduNet), and the EduNet World Association (EWA). STE2024 has attracted 140 scientists and industrial leaders from more than 40 countries.
    DOI: 10.1007/978-3-031-61891-8
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    Recent Advances in Logo Detection Using Machine Learning Paradigms : Theory and Practice (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031598111
    Language: English
    Pages: 1 Online-Ressource(XII, 119 p. 64 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 255
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Deep Convolutional Neural networks -- Introduction to Logo Detection -- Weakly Supervised Logo Detection Approach.
    Abstract: This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues. This book provides numerous ways that deep learners can use for logo recognition, including: Deep learning-based end-to-end trainable architecture for logo detection Weakly supervised logo recognition approach using attention mechanisms Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images Approach for logo detection modelingdomain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem. The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks. The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks. .
    DOI: 10.1007/978-3-031-59811-1
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    Management, Tourism and Smart Technologies : ICMTT 2023 Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031441318
    Language: English
    Pages: 1 Online-Ressource(XI, 438 p. 135 illus., 113 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 773
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Tourism. ; Management. ; Engineering
    Abstract: Comparative study between ecological and economic methods of cryptocurrency mining -- A mobile educational application based on transfer learning and computer vision for teaching semantics fields in children with intellectual disabilities -- Exploring the Factors Affecting the Service Quality of Online Shopping Applications: An Empirical Study -- A basic-electronics educational kit for memory and visuomotor coordination stimulation in senior citizens -- IPv6 in IoT -- Students' perception of professional accountant skills and knowledge -- Proactivity, a need, or a trendy word? -- A systematic review of Green intellectual capital.
    Abstract: This book presents advances in the research of various entities in the world, which are working on the application of technology or management in tourism. Indeed, one of the sectors hardest hit by the pandemic was tourism, likewise one of the post-pandemic effects is the rapid recovery of the sector, but more importantly is the great innovation that has occurred in marketing strategies for tourism using technology and applying management strategies not only to be more profitable but to have the best customer satisfaction. The book is aimed at the general public that seeks to innovate, learn from lessons learned and establish a knowledge base in mechanisms that apply technology or management in tourism, with the aim of improving the experience of all those involved in the business chain. This compendium aims to share all those great experiences and researches in the areas of: Managements, Tourism, Marketing strategies in Management, Tourism and Technology, Technology, Applied Computer Science, Artificial Intelligence, Business Administration, Cloud Computing, Educational Management, Finance, Insurance and Services Management, Health Tourism, Human Resource Management, Information Systems Planning and Management, Information Technologies in Tourism, Internet Technology, Knowledge Management, Management of Supply Chain and Logistics, Marketing Innovation, Robotics, Strategic Management Innovation, Sustainability Management, Technical Economy Management, Technical Innovation and Management, Technology in Tourism and Tourist Experience, Tourism Industry and Ecology, Tourism Management, a total of 77 research projects and many spaces and relationships between researchers to collaborate in the advancement of science are presented.
    DOI: 10.1007/978-3-031-44131-8
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    Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6–8, 2023, Kaohsiung, Taiwan (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819700684
    Language: English
    Pages: 1 Online-Ressource(XV, 559 p. 203 illus., 163 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1145
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Computational complexity.
    Abstract: This first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
    DOI: 10.1007/978-981-97-0068-4
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    Data Mining and Machine Learning in Sports : Success Metrics for Elite Goalkeepers in European Football Leagues (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819977628
    Language: English
    Pages: 1 Online-Ressource(XI, 55 p. 19 illus., 18 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Applied Sciences and Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Sports sciences. ; Recreation ; Machine learning. ; Data mining.
    Abstract: Recent Advancements in Data Mining and Machine Learning Applications in Evaluating Goalkeepers’ Performances in Elite Football -- The Influence of Anthropometrics on Goalkeepers’ Penalty-Saving Performance in Elite European Football -- The Relationship between Anthropometrics Parameters and Clean Sheets of Goalkeepers in Elite European Football -- A Machine Learning Analysis of Technical Skills and Tactical Awareness as Performance Predictors for Goalkeepers in European Football League -- An Unsupervised Analysis of Identifying Key Technical and Tactical Skills Awareness Among Top European Goalkeepers -- Identification of Dominant Types of Shots Received and Saves Among Top European Goalkeepers: A Significant Attribute Evaluation Technique -- Evaluation of Goalkeepers’ Goals Conceptions from Different Saves and Shots Indicators -- Summary, Conclusion, Current Status and Future Direction for Goalkeeper's Performance in European Football Leagues.
    Abstract: This brief highlights the factors associated with good goalkeeping techniques and their impact on goalkeepers’ performance in elite European football leagues. The goalkeeping performances of 1600 goalkeepers from five consecutive seasons across the English Premier League, Spanish La Liga, Italian Serie A, and German Bundesliga are studied. The findings from this brief are useful for identifying the success metrices of top-class goalkeepers that help stakeholders to devise strategies to further enhance their performances and empower talent identification experts with pertinent information for mapping out future high-performance goalkeepers.
    DOI: 10.1007/978-981-99-7762-8
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    Artificial Intelligence and Autoimmune Diseases : Applications in the Diagnosis, Prognosis, and Therapeutics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990290
    Language: English
    Pages: 1 Online-Ressource(XIX, 323 p. 67 illus., 62 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1133
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Quantitative research.
    Abstract: Autoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis.
    Abstract: The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
    DOI: 10.1007/978-981-99-9029-0
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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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    Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981113
    Language: English
    Pages: 1 Online-Ressource(XIII, 380 p. 113 illus., 90 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 828
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: Chapter 1:Knowledge management model focused on organizational sustainable development -- Chapter 2:Control of temperature and relative humidity in greenhouse by humidification system using fuzzy logic in LabVIEW -- Chapter 3:An Intelligent Meter with Smart Home Ability for Intelligent Energy Management -- Chapter 4:Enhancing Workplace Safety through Collaborative Technologies: A Case Study in the Manufacturing Industry -- Chapter 5:Lessons from the Past a Historical Literature Review on Cyber Resilience -- Chapter 6:Strategy to Identify Knowledge Management Solutions for Startup Companies -- Chapter 7:Development of a Smart Pole System Utilizing Arduino Technology and the Internet of Things -- Chapter 8:Preparing Future Leaders: Communication Skills and Leadership Development for E-Government & ICT Reforms -- Chapter 9:Six Sigma DMAIC to Improve the Quality of Food Service: KAU Case Study -- Chapter 10:Effects of Humour in Social Robots onChildren’s Learning -- Chapter 11:Digital Twin and Metaverse supporting Smart Cities new perspectives and potentials -- Chapter 12:AgriChain: Blockchain-enabled Food Traceability -- Chapter 13:Aid Nexus : A Blockchain Based Financial Distribution System -- Chapter 14:Artificial intelligence in countering disinformation and enemy propaganda in the context of Russia’s armed aggression against Ukraine -- Chapter 15:A Reinforcement Learning Model of a Dynamic Solar Panel System for Maximum Energy Harvesting -- Chapter 16:ERP Integration: Enhancing Collaboration in Virtual and Extended Enterprises -- Chapter 17:Exploring the Factors Influencing a Firm's Intent to Adopt Quantum Computing Resources -- Chapter 18:Analysis of data on the audiovisual narrative of the YouTuber Ariana Bolo Arce during 2021 -- Chapter 19:The impact of advertising on video games -- Chapter 20:Internal Communication in the Scopus database: Systematic literature review 2019 - 2023 -- Chapter 21:Cost management model in the subway and open pit mines: A systematic review -- Chapter 22:Advergame: A case study on young people in Lima, Peru -- Chapter 23:Literature-based Practices for Designing Female-inclusive Software Engineering and Computer Science Programs -- Chapter 24:External Communication: A Systematic Literature Re-view 2019 – 2023 -- Chapter 25: Anomaly Detection Across Multi Scale Temporal Data Streams for Human Behavior Modeling -- Chapter 26:Aggregated Framework for Surveillance camera collaboration -- Chapter 27:A Novel Secure Approach for Enhancing Accuracy of Pest Detection with Private Federated Learning using DPSGD -- Chapter 28:Assessment of Home Specific Network Security Training to Prevent Work From Home Culture -- Chapter 29:Parkezy –A Generic Streamlined Intellectual Parking System using ALPR/RFID -- Chapter 30:Improved Intelligent Malware Detection Model in Cloud Environment -- Chapter 31:SMOTE BASED HEART DISEASE DETECTION UTILIZING AI & ML STACKING CLASSIFIER -- Chapter 32:Multi-class Classification of Lung Cancer Detection Using Deep Learning Model. .
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.
    DOI: 10.1007/978-981-99-8111-3
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    Fourth Congress on Intelligent Systems : CIS 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990436
    Language: English
    Pages: 1 Online-Ressource(XVIII, 426 p. 139 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 865
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis -- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern -- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools -- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences -- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain -- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set -- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface -- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings -- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification -- 10. Comparing Online and Face-to-Face Training with Employees Perspective.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-99-9043-6
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    Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 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
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    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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    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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    Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume V (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819710959
    Language: English
    Pages: 1 Online-Ressource(IX, 511 p. 329 illus., 289 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1175
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
    DOI: 10.1007/978-981-97-1095-9
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    Data Science and Emerging Technologies : Proceedings of DaSET 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819702930
    Language: English
    Pages: 1 Online-Ressource(XX, 579 p. 189 illus., 166 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 191
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
    DOI: 10.1007/978-981-97-0293-0
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    Digital Technologies in Education : Selected Cases (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031574221
    Language: English
    Pages: 1 Online-Ressource(XII, 230 p. 60 illus., 53 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 529
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Education.
    Abstract: Part І. Digital Transformations in Education: Implementing New Knowledge Management Strategies -- 1. Digitalization as a Global Trend of Public Management Systems Modernization -- 2. Educational Organization Managers’ Team Role Orientations -- 3. Readiness of Educational Managers and Teachers to Enhance Distance Education and Knowledge Management -- 4. Learning Factories in the Era of Digital Transformations -- Part ІІ. Unleashing Potential: Knowledge Management and Digital Technologies in Higher Education -- 5. Digitalization Trends in Higher Education, etc.
    Abstract: Among the technologies that significantly change the modern world of human existence, it is worth mentioning, first of all, digital technologies. These technologies are actively and relentlessly implemented and integrated into all spheres of human activity and society, becoming a powerful catalyst and a determining source of social development. According to such a scenario of development, society acquires the features of digital, thus defining digital technologies as its leading technology. This process is called the digital transformation of society. The wide use of digital technologies to provide free access to information and knowledge is a basic principle of the digital society. Digital society significantly changes traditional ideas about work, education, culture, communication, social and political life. The development of citizens' digital culture is the main condition for the successful construction of a digital society. Therefore, it is important to carry out scientific research and targeted training to improve the qualifications of specialists in various branches of the economy, in particular, educators and scientists to acquire digital competence. After all, these specialists are key figures in ensuring the process of digitalization of education and science. The book presents various aspects of the digital transformation of education and science. A comprehensive view of the current state and prospects of the use of digital technologies for education and science is provided. The experience of using digital technologies and tools for training and improving the qualifications of specialists of various specialties, as well as for the preparation of future PhDs, is described. The book is addressed to education workers, managers, scientists, graduate students, librarians, and all those who are interested in the process of digital transformation of education and science.
    DOI: 10.1007/978-3-031-57422-1
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    Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555756
    Language: English
    Pages: 1 Online-Ressource(VIII, 239 p. 69 illus., 39 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 252
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Digital Transformation of public services: Introduction, Current Trends and Future -- Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Usage of Modern API for automization of Government procedures -- Epidemiology inspired Cybersecurity Threats Forecasting Models applied to e-Government -- The provision of e-services by public administration bodies and their cybersecurity -- The provision of e-services by public administration bodies and their cybersecurity -- Fuzzy Logic Architecture for Availing the E-Governance Health Care Services by Rural Citizens -- Enhancing the efficiency and the security of e-Government: the French case study of human resources applications.
    Abstract: This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent. Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.
    DOI: 10.1007/978-3-031-55575-6
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    MATLAB and Simulink in Action : Programming, Scientific Computing and Simulation (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819911769
    Language: English
    Pages: 1 Online-Ressource(XVI, 468 p. 161 illus., 149 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering mathematics. ; Computer simulation. ; Computer programming.
    Abstract: Introduction to MATLAB -- Essentials in MATLAB Programming -- MATLAB Flow Control Structures -- MATLAB Functions Programming -- MATLAB Graphics -- Object-oriented Programming -- Calculus and Integral Transforms -- Linear Algebra and Matrix Analysis -- Algebraic Equation Solutions -- Ordinary Differential Equation Solutions -- Optimization Problem Solutions -- Data Processing and Statistics -- Modeling and Simulation with Simulink -- More on Simulink Modeling and Simulation.
    Abstract: The textbook is intended for teaching MATLAB language and its applications. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering.
    DOI: 10.1007/978-981-99-1176-9
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    Proceedings of Data Analytics and Management : ICDAM 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819965441
    Language: English
    Pages: 1 Online-Ressource(XXVI, 695 p. 284 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 785
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
    DOI: 10.1007/978-981-99-6544-1
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    Advanced Solutions for Mobility in Urban Areas (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031531811
    Language: English
    Pages: 1 Online-Ressource(XI, 125 p. 29 illus., 23 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 907
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Transportation engineering. ; Traffic engineering.
    Abstract: The Digital Ecosystem In A Public Transport Company -- Contracts Of Transport Services Provision As A Factor Of Increasing The Effectiveness Of The Urban Public Transport -- Relationship Among Socio-demographic Characteristics, Activity-Travel Participation, Travel Parameter, Physical Activity Intensity, and Health Parameters -- Levels Of Evidence In Transport Research -- Modern Transport Infrastructure As Part Of Critical Infrastructures -- Mountain Without Barriers - Method Of Evaluating Tourist Trails For Possibilities Of Traveling By People With Disabilities Using Specialized Off-Road Vehicle.
    Abstract: This book gathers selected papers presented at the 19th “Transport Systems. Theory and Practice” Scientific and Technical Conference organised by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering of the Silesian University of Technology. How to ensure effectiveness and reduce risk in urban public transport? What factors have an influence on activity-travel participation? What is the future of electromobility in the context of decisions to buy electric vehicles? How to support tourists travelling by people with special needs? This publication provides you with answers to these and many other questions. It also contains an abundance of numerical analyses based on significant data sets, illustrating the close affiliation between mobility and quality of life. With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups: • Scientists and researchers (ITS field). • Local authorities (responsible for the transport systems at the urban and regional level). • Representatives of business (traffic strategy management) and industry (manufacturers of ITS components). The conference was held on 18–19 September 2023 in Katowice (Poland).
    DOI: 10.1007/978-3-031-53181-1
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    Privacy Computing : Theory and Technology (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819949434
    Language: English
    Pages: 1 Online-Ressource(XIV, 204 p. 54 illus., 42 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Data protection ; Data protection. ; Artificial intelligence
    Abstract: Chapter 1 Introduction -- Chapter 2 Privacy Protection Related Technologies -- Chapter 3 Privacy Computing Theory -- Chapter 4 Privacy Computing Technology -- Chapter 5 The future trend of privacy computing.
    Abstract: The continuous evolution and widespread application of communication technology, network technology and computing technology have promoted the intelligent interconnection of all things and ubiquitous sharing of information. The cross-border, cross-system, and cross-ecosystem exchange of user data has become commonplace. At the same time, difficulties in the prevention of private information abuse and lack of protection methods have become global problems. As such, there is an urgent need to intensify basic theoretical research in this field to support the protection of personal information in a ubiquitously interconnected environment. The authors of this book proposed the concept, definition and research scope of privacy computing for the first time in 2015. This book represents their original and innovative scientific research achievement dedicated to privacy computing research, and systematically explains the basic theory and technology involved. It introduces readers to the connection between personal information and privacy protection, defines privacy protection and privacy desensitization, clarifies and summarizes the limitations of existing privacy-preserving technologies in practical information system applications, analyzes the necessity of conducting privacy computing research, and proposes the concept, definition and research scope of privacy computing. It comprehensively expounds the theoretical system of privacy computing and some privacy-preserving algorithms based on the idea of privacy computing. In closing, it outlines future research directions.
    DOI: 10.1007/978-981-99-4943-4
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    Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508608
    Language: English
    Pages: 1 Online-Ressource(XIV, 341 p. 94 illus., 88 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 143
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Environmental management. ; Big data. ; Computational intelligence.
    Abstract: Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities—anywhere on the globe—can record temperature, relative humidity, water content, leaks, and any other physical parameters.
    DOI: 10.1007/978-3-031-50860-8
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    Advances in Tourism, Technology and Systems : Selected Papers from ICOTTS 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819997589
    Language: English
    Pages: 1 Online-Ressource(XIV, 546 p. 59 illus., 46 illus. in color.)
    Edition: 1st ed. 2024
    Series Statement: Smart Innovation, Systems and Technologies 384
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Strategic management of cultural projects - CIM Douro training -- Effects of Internet Access on Tourist Consumption in Mexican Households -- Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist Psychology -- Residents' perceptions of sustainable tourism development in an emerging destination: a factor-cluster approach -- Data Science in Supporting Hotel Management: application of predictive models to Booking.com guest evaluations -- Organizational Commitment: The role of Organizational Happiness and Quiet Quitting -- Proposal for a Technological Thematic Concept for the Trays Festival Museum -- The Impact of Corporate Governance on Financial Performance: Study for Portuguese Hotel Companies -- The influence of the senior tourist profile on the assessment of the dimensions of well-being and quality of life -- Experiences of Backpackers: an overview of publications -- Importance–Performance Analysis of Oleotourism experience -- Present and Future Digital Media Experiences to Support Travellers’ Decision Process During Online Accommodation Booking: A Systematic Literature Review and Bibliometric Analysis -- Motivating Factors in Choosing a Wine Tourism Destination and Its Impact on Territorial Marketing Policies -- Financial impact of covid-19: perspective from the hospitality and restaurant industry -- The Dynamics of Participant Engagement in a Food Festival: The Soup Congress case in Tomar -- Proposal for the creation of a MOOC on military tourism -- Cross-border tourism: a residents’ perspective of the Iberian Meseta Reserve -- The impact of work-life conflict on employees' emotional well-being and the adoption of quiet quitting – A study case applied to the Portuguese hospitality industry -- Reviving the Templar Tale: Proposal for the creation of an immersive experience through the Templar Heritage of Tomar -- Business Intelligence Tools to Improve Business Strategy -- Technology towards Luxury Brands: preliminary insights on fashion tourism, metaverse and non-fungible token (NFT) -- Applying the Importance-Performance Matrix to the Podence Carnival Festival -- Nutrition Software to the Management and Support of Health and Wellness Tourism: An Approach -- Backpackers’ space-time behaviour in a world heritage City – Porto -- Environmental corporate social responsibility (ECSR) in a price-set competition between private and state-owned hotels -- Tourist Technology Satisfaction: Scale Development and Validation -- Dialogic communication and dialogic loop principle in official websites of tourism – hospitality -- A Fuzzy ELECTRE method to model the risk in credit products for financing tourism experiences -- How wine information seeking and event participation impact knowledge and determines the purchasing behaviour? -- The Role of Sociodemographic Characteristics on the Journey from Brand Experience to Brand Love and Loyalty – Porto. -- Perception of Risk and Identification of Security Measures when visiting Cultural Heritage -- Visiting Porto through the eyes of Eugénio de Andrade -- The Perception of Tourists Regarding the Importance of Influencers in Shaping the Image of a Tourist Destination: The Case of Melgaço (Portugal) -- Social Media and the growth of E-Commerce – Multiple case studies: MusaMakeup and CRU Ecoliving -- Improving accessibility as a strategy for social sustainability in tourism supply -- Fashion as an economic sustainability indicator in tourism destinations’ governance through business participation -- Technology applications in the competitiveness of tourism destinations -- Events Tourism and Hospitality Marketing -- Entrepreneurship and COVID 19: The entrepreneurial challenge in a global pandemic -- Educational Practice: The Domain of Curricular Autonomy (DCA) at Fontes Pereira de Melo School. -- Societies, ICT and Higher Education in the 21st Century: Reflections and Proposals -- The Importance of Digital Marketing in Hospitality: The Case of Hotel Fafense.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
    DOI: 10.1007/978-981-99-9758-9
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  • 90
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    Cooperative Control of Multi-agent Systems : A Hybrid System Approach (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819709687
    Language: English
    Pages: 1 Online-Ressource(XIV, 224 p. 65 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; System theory. ; Control theory. ; Mathematics. ; Computational intelligence.
    Abstract: 1 Introduction -- 2 Sampled-Data Consensus Control of MAS with Time Delay -- 3 Sampled-Data Consensus Control of MAS with Packet Losses -- 4 Sampled-Data Consensus Control of MAS under Switching Network -- 5 Output Feedback Sampled-Data Control of MAS -- 6 Hybrid Event-Triggered Bipartite Consensus of MAS -- 7 Hybrid Event-Triggered Consensus of MAS with Time Delay -- 8 Hybrid Event-Triggered Consensus of MAS with Packet Losses -- 9 Sampled-Data Based Reset Control of MAS -- 10 Event-Based Reset Control of MAS -- 11 Reset Observer Based Event-Triggered Control of MAS.
    Abstract: This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc.
    DOI: 10.1007/978-981-97-0968-7
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  • 91
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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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  • 92
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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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  • 93
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    Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819994120
    Language: English
    Pages: 1 Online-Ressource(XV, 507 p. 201 illus., 159 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1114
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Mathematical optimization. ; Computational complexity.
    Abstract: Technologies for Next-Generation Network Environments -- Recent Progress in Computational Electromagnetic Dynamics -- Future Cyber Security, Privacy and Forensics for Advanced systems -- Data Mining Techniques and its Applications -- Optimization Models in Deep Learning/Machine Learning.
    Abstract: This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
    DOI: 10.1007/978-981-99-9412-0
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  • 94
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    Disruptive Information Technologies for a Smart Society : Proceedings of the 13th International Conference on Information Society and Technology (ICIST) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031507557
    Language: English
    Pages: 1 Online-Ressource(XV, 527 p. 209 illus., 163 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 872
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Software engineering. ; Computational intelligence.
    Abstract: Part I: ICT for Health, Well-being and Sport -- Prediction of coronary plaque progression using data mining and artificial neural networks -- Rule-Based System For Pregnancy Monitoring -- Finite element analysis of myocardial work in cardiomyopathy -- Saccade Identification During Driving Simulation from Eye Tracker Data with Low-sampling Frequency -- Digital Technologies to support the Decision-Making Process for Dental Implants Treatment Planning -- SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling -- The Importance of Genetic and Clinical Data features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy -- Haptic user interface for biomechanical feedback in aquatic sports: usability study -- Overview of Deep Learning Retinal Vessel Segmentation Methods from Fundus Images -- Convolutional Neural Network for Atherosclerotic Plaque Multiclass Image Segmentation in Transverse Ultrasound Images of Carotid Artery -- Part II: Applied Artificial Intelligence -- Using AutoML for AI service deployment -- Comparison of Deep Learning Algorithms for Facial Keypoints Detection -- Artificial Intelligence in Public Administration and Business Sector: A Bibliometric Review in Comparative Perspective -- Machine Learning Model as a Service in Smart Agriculture Systems -- A semi-supervised framework for anomaly detection and data labeling for industrial control systems -- Multilingual transformer and BERTopic for short text topic modeling: the case of Serbian -- Evaluation of head-up display for conditionally automated vehicles -- Visual programming support for the explainable artificial intelligence -- Multi-criteria decision making in turning operations using AHP, TOPSIS and WASPAS methods -- CNN-Based Object Detection for Robot Grasping in Cluttered Environment -- Performance Prediction of bio-inspired Compliant Grippers using Machine Learning Algorithms -- Part III:Digital Water -- HPC-based decision support system for remediation works on a dam -- Analysis of seepage through an embankment dam within the framework of hydropower system resilience assessment -- Statistical method for the DDF curves estimation under changing climate -- Technology platform for hydroinformatics systems -- Part IV:Computer Based Learning -- Novel approach for education in biomedical engineering based on atomic learning -- Ontology development approach adopting analogy and competency questions -- Educational system for demonstrating Remote attacks on Android Devices -- CRETE – Code REview Tool for Education -- The architecture of citizen science open data repository based on version control platforms -- Automatic Population of Educational Ontology from Course Materials -- Visual Question Answering - VizWiz challenge -- Part V:Digitalization in Energy sector -- Hybrid Approach in Thermal Demand Forecasting of a Building -- Digital solution to estimate solar power potential of rooftops in city of Belgrade -- Platform for efficient building operation and Demand Response flexibility provision -- Framework for optimizing neural network hyper parameters for accurate wind production forecasting -- Demand-side optimization of hybrid energy systems with heat pumps -- Scalable real-time simulation of electrical power system models in the cloud -- Part VI:Advanced Information Systems -- Relying on E-Contracting and Smart Contracts to Facilitate Legally Enforceable Conformance Checking in Collaborative Production -- Can memes beat the market? A roadmap to forecasting financial asset returns by using social media data and Machine Learning -- Access control in a distributed micro-cloud environment -- E-Government Requirements Specification Based on BPMN -- Towards a Formal Specification and Automatic Execution of ETLs in Cross-Organizational Business Processes -- Task queue implementation for edge computing platform -- Authentication and identity management based on zero trust security model in micro-cloud environment -- Supporting Integrative Code Generation with Traceability Links and Code Fragment Integrity Checks -- Model for Evaluating Points-to Analysis in GraalVM Native Image Using Instrumentation-based Profiling -- A Reference Architecture for Secure IoT.
    Abstract: This book aims at meeting the challenge of getting along with today’s unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. "Disruptive Information Technologies for a Smart Society" is the proceedings book of the 13th International conference for information society and technologies that brings together experts from various fields to discuss the latest advancements in software engineering, machine learning, digital water, and ICT for health and sport. The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, energy, Fintech, AI, and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields.
    DOI: 10.1007/978-3-031-50755-7
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  • 95
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    Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 3 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031530227
    Language: English
    Pages: 1 Online-Ressource(XVIII, 517 p. 179 illus., 152 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 901
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    Keywords: Computational intelligence. ; Education
    Abstract: This book contains papers in the fields of engineering pedagogy education, research in engineering pedagogy, and games in engineering education. The authors are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
    DOI: 10.1007/978-3-031-53022-7
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  • 96
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    Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA 2023 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031534454
    Language: English
    Pages: 1 Online-Ressource(XV, 595 p. 208 illus., 189 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1136
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    Keywords: Computational intelligence. ; Industrial engineering. ; Production engineering. ; Multiagent systems.
    Abstract: Part I: Digital Twins and Software Implementation in Smart Manufacturing -- An architecture to integrate digital twins and machine learning operations -- Digital twin for decision-support: an insight into the integration of simulation models into digital twin architectures -- Modular Architecture for Embedded Digital Twin: Application to Assistive Technologies Design -- Data acquisition system for developing digital twin solutions: a practical guide -- Digital twin based augmented reality concept for no-code robotics -- Holonic Systems for Traceability in Fruit Supply Chains -- Part II: Resilience and Decision-making in Smart Healthcare Systems -- Exploration of (De-)centralising Scheduling in an Emergency Department -- Risk Assessment for Digital Twins applied in Systems Medicine.
    Abstract: The scientific theme of the book is “Sustainability for the digital manufacturing era” which is focused on how the technological enablers of digital systems drive the sustainability for products, processes, manufacturing, and logistics systems in the industry of the future. The book’s chapters describe sustainability drivers specific to the technological advances that motivate, encourage, and engage the economic, social, and environmental aspects within intelligent manufacturing and logistics systems. The novelty of this approach consists in extending the economic sustainability of digital manufacturing with the ethical perspective at human social scale. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods, and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book’s readership is comprised of researchers and engineers working in the value chain of products and processes, who develop digital control solutions in the “Industry of the Future” vision. The book is also addressed to master’s and Ph.D. students enrolled in Engineering Sciences programs.
    DOI: 10.1007/978-3-031-53445-4
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  • 97
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    Mensch versus neuronale Netze : Analyse je einer Human- und KI-gestützten Übersetzung eines medizinischen Fachtextes vom Deutschen ins Polnische (2024)
    Berlin : Frank & Timme GmbH | Berlin : Imprint: Frank & Timme
    Details
    ISBN: 9783732989249
    Language: German
    Pages: 1 Online-Ressource(364 S.)
    Edition: 1st ed. 2024.
    Series Statement: Studien zu Fach, Sprache und Kultur 10
    Keywords: Translating and interpreting. ; Computational intelligence.
    Abstract: Im Laufe der Globalisierung hat auch das Übersetzen medizinischer Texte an Bedeutung gewonnen. Neue Technologien wecken bei Sprachmittlern und Privatpersonen das Interesse an der Nutzung KI-gestützter Übersetzungssysteme. Ob die auf Algorithmen basierenden maschinellen Übersetzungsprogramme in der Lage sind, medizinische Texte adäquat und fehlerfrei in die Zielsprache zu übertragen, und inwieweit die Künstliche Intelligenz die menschliche bei Übersetzungen im medizinischen Bereich ersetzen kann, legt dieser Band offen. Das Kernstück der Untersuchung bildet die Fehleranalyse einer KI-gestützten Übersetzung eines ärztlichen Entlassungsberichts aus dem Deutschen ins Polnische mit anschließender Evaluation der Übersetzungsqualität. Es wird gezeigt, wie hoch der Posteditionsaufwand bei der Korrektur einer maschinell erstellten Übersetzung eines medizinischen Textes ist.
    DOI: 10.57088/978-3-7329-8924-9
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  • 98
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    Frontiers in Genetics Algorithm Theory and Applications (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819981076
    Language: English
    Pages: 1 Online-Ressource(XIV, 287 p. 90 illus., 48 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
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    Keywords: Computational intelligence. ; Algorithms. ; Mathematical optimization. ; Building information modeling.
    Abstract: Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
    Abstract: This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
    DOI: 10.1007/978-981-99-8107-6
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  • 99
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    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) : Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 1 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031543180
    Language: English
    Pages: 1 Online-Ressource(XII, 428 p. 165 illus., 139 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 930
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Economic development. ; Environmental sciences ; Agriculture.
    Abstract: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.
    DOI: 10.1007/978-3-031-54318-0
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  • 100
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    Advances in Intelligent Manufacturing and Robotics : Selected Articles from ICIMR 2023; 22-23 August, Suzhou, China (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819984985
    Language: English
    Pages: 1 Online-Ressource(XII, 581 p. 235 illus., 178 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 845
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Industrial engineering. ; Microtechnology. ; Microelectromechanical systems. ; Computational intelligence. ; Signal processing.
    Abstract: This book presents selected peer reviewed articles from the International Conference on Intelligent Manufacturing and Robotics (ICIMR 2023) held on 22-23 August at the Xi’an Jiaotong-Liverpool University in China. The book deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances in intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are discussed. The book provides an insightful view on the current trends, issues, mitigating factors as well as proposed solutions.
    DOI: 10.1007/978-981-99-8498-5
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