Abstract: Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks -- Improved UCB MAB-Based Algorithm for Relay Selection in Cooperative Narrowband PLC Communication -- Mutual-Visibility in Fibonacci Cubes -- Evaluation of the Trust Zone Model with the Information Flow Control -- PRVC: A Novel Vehicular Ad-hoc Network Caching based on Pre-trained Reinforcement Learning -- ElasticWISP-NG: Towards Dynamic Resource Provisioning for WISP Access Networks -- BBR-R: Improving BBR's RTT Fairness by Dynamically Adjusting Delay Detection Intervals -- Reducing Signaling Overhead in 5G Mobile Network for IoT Device Mobility -- On Network Design and Planning 2.0 for Optical-computing-enabled Networks -- DEAR: DRL Empowered Actor-critic ScheduleR for Multipath QUIC Under 5G/B5G hybrid networks -- Integrated Vehicle Access Protocol with Priority-Based Messaging for VANETs -- Adaptive Cost-Reward Scheduling for Optimizing Radio Utilization and Frequency Numerology Efficiency in B5G New Radio Networking -- Speed Control for Autonomous Vehicular Platoon -- A Comparison Study of a Fuzzy-based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks -- A Distributed Approach for Autonomous Landmine Detection Using Multi-UAVs.

Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

Abstract: Review of the Two Existing Artificial Neural Network Models – Multilayer Perceptron and Probabilistic Neural Networks -- Beyond the Original PNN Model – Kernel Memory for Modeling Various Neural Pattern Processing Mechanism -- Modules within the Artificial Mind System and Their Interactions Relevant to Language Pattern Processing -- Concept Formation.

Abstract: This book proposes a novel connectionist approach to a challenging topic of language modeling within the context of kernel memory and artificial mind system, both proposed previously by the author in the very first volume of the series, Artificial Mind System—Kernel Memory Approach: Studies in Computational Intelligence, Vol. 1. The present volume focuses on how syntactic structures of language are modeled in terms of the respective composite connectionist architectures, each embracing both the nonsymbolic and symbolic parts. These two parts are developed via inter-module processes within the artificial mind system and eventually integrated under a unified framework of kernel memory. The data representation by the networks embodied within the kernel memory principle is essentially local, unlike conventional artificial neural network models such as the pervasive multilayer perceptron-based neural networks. With this locality principle, kernel memory inherently bears many attractive features, such as topologically unconstrained network formation, straightforward network growing, shrinking, and reconfiguration, no requirement of arduous iterative parameter tuning, construction of transparent and hierarchical data structures, and multimodal and temporal data processing via the network representation. Exploiting these multifacet properties of kernel memory with interweaving the notion of inter-module processing within the artificial mind system provides coherent accounts for concept formation and how various linguistic phenomena, viz. word compoundings, morphologies, and multiword constructions, are modeled. The description is then extended to more intricate network models of context-dependent lexical network and syntactic-oriented processing, the latter being the central theme of the present study, and further to those representing a hybrid of nonverbal and verbal thinking, and semantic and pragmatic aspects of sentential meaning. The book is intended for general readers engaging in various areas of study in cognitive science, computer science, engineering, linguistics, philosophy, psycholinguistics, and psychology.

Abstract: Chapter 1: YOLOv8: Advancements and Innovations in Object Detection -- Chapter 2: Anxiety, Depression Red Flag Marker in Social Media -- Chapter 3: Object Detection and Tracking Approach for Traffic Monitoring -- Chapter 4: Detection of malnutrition in children using Deep Learning model -- Chapter 5: Multilingual Indian Covid-19 Chatbot -- Chapter 6: Blockchain, IoT and Smart Grids Challenges for Energy Systems -- Chapter 7: IAM Dataset-Based Author Identification via Convolutional Neural Networks -- Chapter 8: Design of low power Booth multiplier with enhance pre-logic mechanism using Verilog -- Chapter 9: Novel Statistical Glaucoma Prediction Algorithm based on Spectral Analysis -- Chapter 10: A Comparative Study of Audio Source Separation Techniques on Indian Classical Music: Performance Evaluation and Analysis. 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.

Abstract: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.

Abstract: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.

Abstract: This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.

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.

Abstract: Development of a camera-based parking monitoring system with an automatic parking spot identification -- Energy-efficient radio platforms for implementation of nodes of sensor networks -- A heuristic approach to assess the performance efficiency of road intersections in urban environments from the resilience perspective -- The ecological footprint of embedded rail structures -- Vectors of development of mountain tricycles.

Abstract: This book presents many valuable tips for making decisions related to road traffic in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this volume, finds interest among people who face the daily challenge of searching for advanced solutions and practical applications in road traffic engineering. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the heuristic approach to assessing the performance efficiency of road intersections in urban environments from the resilience perspective, modeling the distribution of transport pollutants in a naturally ventilated road tunnel, development of a camera-based parking monitoring system with an automatic parking spot identification). In turn, due to a new approach to theoretical models (including, inter alia, problems with the safety of passengers at tram stops or energy-efficient radio platforms for the implementation of nodes of sensor networks), the publication also interests scientists and researchers carrying out research in this area. The publication entitled "Road Traffic Analysis, Theoretical Approaches and Practical Solutions" contains selected papers submitted to and presented at the 19th “Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering at the Silesian University of Technology. The conference took place on September 18–19, 2023, in Katowice (Poland).

Abstract: AI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings.

Abstract: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.

Abstract: This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

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.

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.

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.

Abstract: This book presents the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Abstract: Review Of Integrated Dashboard Model For Performance Measurements -- An Empirical Analysis Of Lung Cancer Detection And Classification Using CT Images -- Species Identification Of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Optimized Analysis Of Emotion Recognition Through Speech Signals -- Estimation Of Impurities Present In An Iron Ore Using CNN -- Convolutional Neural Network And Recursive Feature Elimination Based Model For The Diagnosis Of Mild Cognitive Impairments -- Secure Identity Based Authentication For Emergency Communication -- IOT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology -- Camera And Voice Control Based Human Computer Interaction Using Machine Learning -- Anomaly Detection In Classroom Using Convolutional Neural Networks -- Efficient Vlsi Architectures Of Multimode 2D Fir Filter Bank Using Distributed Arithmetic Methodology -- A Systematic Study And Detailed Performance Assessment Of SDN Controllers Across A Wide Range Of Network Architectures -- An Image Processing Approach For Weed Detection Using Deep Convolutional Neural Network -- Trust And Secured Routing In Mobile AD HOC Network Using Block Chain -- Underwater Image Quality Assessment And Enhancement Using Active Inference -- A Machine Learning And Deep Learning Based Web Application For Crop And Fertilizer Recommendation And Crop Disease Prediction -- The Hybrid Model Of LSB – Technique In Image Steganography Using Aes And Rsa Algorithm -- Secure Trust Based Attribute Access Control Mechanism Using FK-MFCMC AND MOEHO-XGBOOST Techniques -- Designing Multiband Patch Antenna For 5G Communication System -- Applications Of AI Techniques In Healthcare And Wellbeing Systems -- Intelligent One Step Authentication Using Machine Learning Model For Secure Interaction With Electronic Devices -- Development Of Automated Vending Machine For The Application Of Dispensing Of Medicines -- Multiband Micro-Strip Patch Antenna For C/X/KU/K Band Applications -- Islanding Detection And Prevention Of Blackout Of Distribution System Using Decision Tree Algorithm Based Load Shedding -- Propogation Of Computer Worms – A Study.

Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

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.

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.

Abstract: On P-refinement in Topology Optimization -- Computational Analysis of Darrieus Vertical Axis Wind Turbines for Exhaust Air Energy Extraction -- A Wideband Circular Slot-Loaded Hexagon-Shaped Microstrip Antenna for Microwave RF Energy Harvesting -- A New Method of Population Initialization for Enhancing Performance of Evolutionary Algorithms -- Performance Analysis of Metaheuristic Methods in the Classification of Different Human Behavioural Disorders -- The Influence of Wall Temperature on Total Pressure Drop During Condensation of R134a Inside a Dimpled Tube.

Abstract: This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2022), organized by National Institute of Technology, Silchar, Assam, India, during December 21–23, 2022. The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

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.

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.

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.

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.

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.

Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, 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.

Abstract: Comparative study of abrasion resistance in cotton and meta-aramid fabrics for the production of safety garments -- Cybersecurity and cyber defense in the light of new technologies in cyberspace -- NATO/USAF standards in the FAC (by its Spanish acronym), building interoperability from the basic flight schools -- Human capital and per capita income in Ecuador -- Effect of the real wage on the basic family basket in Ecuador -- Evaluation of technical efficiency in segment one of the savings and credit cooperatives in Ecuador for 2016-2021 -- Measurement of innovation capacity in small and medium manufacturing companies -- The adhocracy culture and its impact on innovation in manufacturing companies of the Quito Metropolitan District -- Adjustable polycentric mechanism for external knee joint prosthesis based on the instantaneous center of rotation -- Manufacture of a custom-made AFO orthosis based on abaca nonwoven composite (Musa textilis) and resin -- Application of multicomponent nanoparticles synthesized with Andean blackberry fruit extract (Rubus glaucus) NPs (Ca, Fe, Mg-Rg) for oyster mushrooms (Pleurotus ostreatus) -- Characterization of a bamboo cellulose-activated carbon filament and resin -- Phytoremediation of pharmaceutical mixtures using Chrysopogon zizanioides: A sustainable alternative for removing emerging contaminants from wastewater -- Strength and elongation analysis of a coconut fiber-based nonwoven with potential applications for geotextiles -- Burnout syndrome and its relationship to working schedule: A cross-sectional study among oilfield workers in the Ecuadorian Amazon region -- ECRIF as a strategy to boost EFL students' speaking skills: An exploratory action research approach -- Attitude levels towards multicultural education in primary school teachers from north Lima (Peru) -- Implications of stakeholders on the quality and governance of university higher education: a critical analysis -- School motivation and academic performance in mathematics in primary school students from Pachacamac (Lima, Peru) -- Burnout syndrome in physicians of the surgical hospitalization area of a second-level hospital in the city of Guayaquil -- Evaluating the profiles of preprofessional internships of two University programs in early childhood end elementary education -- The community as a strategy for crime prevention: The experience of “Soñarte” socio-cultural project -- News coverage on the social network Facebook: a systematic review in Scopus from 2018 to 2023 -- Predictors of academic satisfaction through activities with Turnitin -- Effect of the application of pedagogical tools for ethics training in the public accounting program of the Corporación Universitaria Minuto de Dios distance modality -- The mediating effect of academic performance on ChatGPT satisfaction in university students.

Abstract: This book covers different aspects of advances in research, technological development, and innovation results in artificial intelligence, computational modeling, electrical, electronics, telecommunication, data communications, defense engineering, innovation, technology and society, managing technology and sustained innovation, business development, security and cryptography, and software engineering. In addition, the volume focuses on research results focused on finding innovative solutions in intelligent systems concerning the topics mentioned above, which are developed in national and international postgraduate programs and associated research groups and networks. This book interests the industry, teachers, undergraduate and graduate students, and researchers working in intelligent systems, security and defense, and technological, human, and administrative sciences. .

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.

Abstract: Chapter 1: A Structure for Forecasting Stomach Cancer Using Deep Learning and Advanced Tongue Characteristics -- Chapter 2: Smart Rack System Using AI -- Chapter 3: "Enhancing Pneumonia Detection Accuracy through ResNet-Based Deep Learning Models and Ensemble Techniques: A Study Using Chest X-Ray Images" -- Chapter 4: Polisentix : Political Sentiment Analyser -- Chapter 5: An Interactive Smartphone Application to Manage Youth Loneliness -- Chapter 6: The Integral Significance of Data Science in Startup Ecosystems -- Chapter 7: Comparing Object Detection Models for Public Safety -- Chapter 8: Evolution of ChatGPT and different language models: A Review -- Chapter 9: Emotion Detection for the Blind using Deep Learning -- Chapter 10: Impact of Feature Normalization Techniques for Recognition of Speech for Mathematical Expression. 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.

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. .

Abstract: Introduction -- Introduction to deep neural networks -- Residual neural networks -- Convolutional Neural Networks -- Solving PDEs with Neural Networks -- Operator Networks -- Generative Deep Learning.

Abstract: The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students. .

Abstract: On the relationship between Benchmarking, Standardisation and Certification in Robotics and AI -- Confiance.ai Program, Software Engineering for Trustworthy AI -- Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots -- Trustworthy Artificial Intelligence in the Context of Metrology -- Performance Modelling of Autonomous Mobile Robot Software Components -- Towards Standardization of Interaction Design: Cognitive Developmental Robotics Revisited -- KPI-driven Energy Monitoring Dashboards for Robotic Performance -- Co-Regulation and AI Innovation -- Prolegomenon for a Family of Theorems Regarding Trustworthiness in Autonomous Artificial Agents -- The Quest for an AI Ethics: Between Benevolence and Greed.

Abstract: The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment. In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-.

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.

Abstract: Digital transformation and Disruptive Technologies -- Cloud Computing and DevOps on Managing Projects -- Product Differentiation Strategy between Cost Leadership Strategy and Order-Winners -- Customisation Strategy and Product Variety on Operational Performance -- Demand Forecasting on Effective Supply Chain with Mediating Role of Strategic Planning -- Information Sharing and Delivery Time on Customer Happiness.

Abstract: This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.

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).

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.

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.

Abstract: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.

Abstract: Efficiency Evaluation of Mobile Vision Transformers -- Online shopping experience: The case of Zara -- Virtual reality as a tool for the reconstruction and dissemination of Cuenca's cultural heritage: cases of the "Puente Roto" bridge and the "Cornelio Merchán" building -- Lextutor program as a tool to teach ESL vocabulary -- Study on Stereo AI Based Zed-2i Camera -- Systematic review of motion sensors and their energy efficiency -- Technical and business risk management in software startups -- The Impact of Insufficient Organisational Change Management on Enterprise Resource Planning Benefits: A South African Case Study -- Infrastructure overlays and digital chimeras: keys for reading information infrastructures -- Handover Analysis of Mobile Cellular Network in a Populated City -- The Development of an Architecture using Traditional and Modern Recursive Neural Networks and Natural Language Processing to Increase the Accuracy of Response on Client Doubts Related to Public Services -- A Systematic Mapping Study on the Use and Development of Research Software.

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.

Abstract: Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher.

Abstract: This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

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.

Abstract: The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.

Abstract: Product Differentiation Strategy between Cost Leadership -- Organizational Culture between Business Process Reengineering and Business Value -- Customisation Strategy and Product Variety on Operational Performance -- Team Creativity and Continuous Improvement on Time-To-Market -- Online Buying Behavior in the UAE Online Retail Industry: The Role of Emotional Intelligence.

Abstract: This book provides a standpoint on how to effectively use technology innovation for business intelligence and analytics. It presents an approach that combines cutting-edge technological advancements with practical applications in the business world. The book covers a range of innovative technologies and how they can be applied to enhance business intelligence and analytics. It is primarily aimed at professionals in the business field data analysts and students studying subjects. This book is especially beneficial for those who want to grasp and apply the technological trends in making strategic business decisions. Its comprehensive coverage makes it an indispensable resource for anyone, in the intersection of technology and business analytics. .

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.

Abstract: SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection -- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations -- Unsupervised approaches in anomaly detection -- Profiling and Classification of IoT Devices for Smart Home Environments -- Application of Machine Learning to Improve Safety in the Wind Industry -- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning -- Unraveling what is at stake in the intelligence of autonomous cars -- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities -- Application of Deep Learning in Medical Cyber-Physical Systems -- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning -- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges -- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration -- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning -- Current datasets and their inherent challenges for Automatic Vehicle Classification.

Abstract: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. .

Abstract: Affecta-Context: The Context-Guided Behavior Adaptation Framework -- LTS-NET: End-To-End Unsupervised Learning of Long-Term 3D Stable Objects -- EA-Repose: Efficient and Accurate Feature-Metric-Based 6D Object Pose Refinement Via Deep Reinforcement Learning -- Chop-SAT: A New Method for Knowledge-Based Agent Decision Making -- Performance Comparison of SAC Methods for Radar Dynamic Object Classification -- Sim2Real When Data Is Scarce: Image Transformation for Industrial Applications -- Give Pedestrian More Choice: Socially Aware Navigation Using Reinforcement Learning with Human Action Entropy Maximization -- Data Aggregation (DAgger) Algorithm Using Adversarial Agent Policy for Dynamic Situations -- Target Acquisition by Reinforcement Learning-Based Bin Tilting with a Robotic Arm.

Abstract: Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme “Impact and Effect of AI on Intelligent Autonomous Systems.” It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human–machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR. For ease of reading, the 91 papers have been grouped into five chapters: Chapter 1: Intelligent Autonomous Vehicles; Chapter 2: Autonomous Robots; Chapter 3: Intelligent Perception and Sensors; Chapter 4: Data Fusion and Machine Learning for Intelligent Robots; and Chapter 5: Applied Autonomous Systems. The articles included in this book underwent a rigorous peer-review process and were presented at the IAS18-2023 conference. For researchers working in the field of intelligent autonomous systems technology, we believe this book provides valuable insights into recent advances in autonomous technologies and applications, thereby enriching their studies. We extend our heartfelt thanks to all the authors and editors who contributed to this edition.

Abstract: Implementing Scaled Agile Framework Methodology Principles in the Quality Assurance Process -- Using Knowledge Graph And Kd Tree Random Forest For Image Retrieval -- Blockchain in the Portuguese public electronic service -- Social Media Use How is critical consumption of news impacting voting persuasion in Angola -- Exploring the Performance of Large Language Models for Data Analysis Tasks through the CRISP DM Framework -- Analyzing Project Managers Organizational Commitment A Big Data Approach to Understanding Managerial Engagement -- Low cost system for monitoring water quality parameters in lentic and lotic ecosystems -- A Unified Approach to Real Time Public Transport Data Processing.

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.

Abstract: Chapter 1: Analytics of Machine Learning in Healthcare Industries -- Chapter 2: Design and Implementation of First in First out (FIFO) Buffer for distributed load balancing systems -- Chapter 3: Artificial Neural Networks-based Forecasting to Anticipate the Indian Stock Market -- Chapter 4: A Framework for Real Time Crowd Behaviour Monitoring System based on Human Activity Recognition in Surveillance Videos -- Chapter 5: STM32 Based Home Automation and Energy Monitoring System with TFT Display -- Chapter 6: Smart Rover for Farm Pesticide Spraying -- Chapter 7: Emergency Alert and Adaptive Traffic Signal System Using Machine Learning -- Chapter 8: Design of a chatbot for relieving academic stress in adolescent students -- Chapter 9: Mental Health Predictive Analysis using Machine Learning Techniques -- Chapter 10: Crime Prediction and Prevention Using Design Intervention and Artificial Intelligence. 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.

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.

Abstract: A Study on the Application of Cloud-based Database Construction in Language Subject -- Deep Learning Algorithms in Predictive Models for Image Optimisation Methods for Civil Engineering Supervision -- Teacher Performance Evaluation (TPE) System Based on Deep Learning Algorithms -- Research on Internet Music Retrieval Technology Based on Neural Network Algorithms -- Art Design of Urban Public Facilities under the Background of Smart City -- Application Research on Preparatory Heat Treatment Process of Marine Large-size Gears -- Equation and Realization of Instruction synthesis Competence Evaluation System(ES) on Account of Back Propagation Neural Network(BPNN) -- Exploration of Intelligent Control System of Traditional Chinese Medicine Processing fire Based on Collaborative Filtering Algorithm -- Evaluation and Investigation on the Blur Medical Image Deblurring Algorithm Based on Sports -- Basketball Technical Feature Target Detection System Based on Artificial Intelligence -- Construction of Rehabilitation Training Platform Based on Data Fusion and Neural Network Algorithms -- Exploration on Automatic Recommendation System for Video Background Music Based on Machine Learning -- Evaluation on a Virtual Clothing Design System Based on Web Technology -- Design of Immersive Display System in Virtual Simulation Laboratory -- Development of Higher Mathematical Test Question Bank System Based on Django Framework -- Design of Intelligent Tourism System based on Three-Dimensional Panoramic Roaming Technology.

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 1 for this conference proceedings, which consists of a 3-volume book series. .

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.

Abstract: Chapter 1: Emotion-Aware Music Recommendations: A Transfer Learning Approach using Facial Expressions -- Chapter 2: A novel image captioning approach using CNN & MLP -- Chapter 3: Route Optimizations Using Genetic Algorithms for Wireless Body Area Networks -- Chapter 4: Prediction Model for the Health Care Industry Using Machine Learning -- Chapter 5: An Efficient Framework for Crime Prediction using Feature Engineering and Machine Learning -- Chapter 6: Development of an Online collectable items marketplace using modern practices of SDLC and Web Technologies -- Chapter 7: Facial Emotion Recognition using Machine Learning Algorithms: Methods and Techniques -- Chapter 8: Similar intensity based Euclidean distance feature vector for mammogram image classification -- Chapter 9: Prediction of Lumpy Virus Skin Disease using Artificial Intelligence -- Chapter 10: Two-Factor Authentication Using QR Code and OTP. etc.

Abstract: This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.

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. .

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.

Abstract: Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting.

Abstract: This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.

Abstract: Personalized Big Data Access: Value for Medical Staff -- Investigating the European Union minimum wage setting mechanisms through the Directive (EU) 2022/2041 -- A Formal Intelligent Metric System for Measuring Cyber Security Maturity -- Modeling the impact of Natural Gas and Oil Price Crisis on Inflation -- Modeling Literary Preferences Using Complex Networks and Centrality Measures -- Impact of personalization on improving a chatbot’s performance. Case study for a banking virtual assistant -- Analyzing the antecedents of fake news sharing in online social networks -- The Costs of Virtual Solutions for the Educational System -- Production and Transportation Model with Environmental Pollution Constraints -- Regional Development and the Role of Public Sector Digital Maturity -- Exploring the Relationship Between Income Inequality and Education: An Analysis Using PISA Test Results and the Gini Coefficient -- Educational Innovations Based on Metaverse in the Development of Smart Cities -- A Citation-based Scientometric Analysis of Published Articles from Bucharest University of Economic Studies -- Main Characteristics and Cyber Security Vulnerabilities of IoT Mobile Devices -- Attitudes towards digital transformation in economics education -- Personalized Big Data Access: Value for Medical Staff -- A Quantitative Approach to Default Probability Estimation using the ZPP Model: a Study for LUNA and FTT Virtual Currencies -- Leveraging Website Analytics to Enhance User Experience with Pop-ups and Drive Sales Conversions -- Application of Artificial Intelligence techniques in the detection of Financial Bubbles -- An Analytical Framework for Pervasive Games in The Cultural Sector: Expanding the Boundaries of Play in 8 Dimensions -- The Use of Blockchain Technology for Managing a Voting Process.

Abstract: This book includes high-quality research papers presented at 22nd International Conference on Informatics in Economy (IE 2023), which is held in Bucharest, Romania, during May 2023. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.

Abstract: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

Abstract: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Abstract: Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review -- Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management -- Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets -- Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model -- Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models -- Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT -- Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- Chapter 10: Deep Learning Applications in Thermal IR 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.

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.

Abstract: Polynomial-based Guidance Law Design for Various Target Motions -- Air Combat Agent Construction Based on Hybrid Self-play Deep Reinforcement Learning -- Analysis of Distributed Cross-Domain Anti-Sea Combat Command and Decision-Making Capability Enhancement -- Distributed Bee Actor-Critic Algorithm: An Approach for Intelligent Wargaming -- Research on a Low Interception Directional Modulation Technology -- Spaceborne Sea Ice Edge Detection Using TechDemoSat-1 GNSS-R Signals -- A Development Route of the Information System facing the Threat of Hypersonic Technology -- An Analysis Method of Target Value Considering Combat Phases -- Military Deception Identification Method Based on Multi-criteria Decision Analysis -- Technical Exploration of High-resolution Optical Detection System for Ultra-low Orbit.

Abstract: This book presents a selection of peer-reviewed research papers that were originally presented at the 11th China Conference on Command and Control (C2 2023), held in Beijing, China, on October 24–25, 2023. The book covers a wide range of topics related to intelligent command and control, including Theories, Modeling and Simulation, System Engineering Technology, 5G and Intelligent Command, Control and Management Integration Technology, Joint Cooperative Command and Control Organization Management, Agility in the Network Age, Cyberspace Situational Awareness Technology, CPS Parallel Management and Control, Unmanned Systems, Intelligent Military Camp Technology, Architecture Design for Intelligent Air Traffic Control Systems, Human–Machine Interaction and Virtual Reality, Swarm Intelligence and Cooperative Control, and Intelligent Gaming Theory and Technology. The research presented in this book offers the latest insights into theories, algorithms, and applications in command and control. As such, it is an essential resource for researchers, engineers, and university students interested in this field. By bringing together cutting-edge research from leading scholars in the field, this book provides a comprehensive overview of the latest advances in command and control, making it a valuable asset for anyone seeking to deepen their understanding of this important subject.

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.

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.

Abstract: A Use Cases Driven Design of a Virtual Anatomy -- ADDIE Implementation When Teaching Professional Foreign Language Online in Technological University -- Gamification as a Key Factor for Students' Motivation in EFL Classrooms -- Gamification As An Essential Factor For Developing Management Skills -- The Formation of a Virtual Educational Environment as an Element in the System of Improving the Digital Competences of Teachers -- Approaches To Foreign Language Teaching To Future Engineer-Teachers In The Context Of Digitalization And Distance Learning.

Abstract: This book contains papers in the fields of educational virtual environments, future of education, project-based learning (PBL), and digital education strategy and engineering pedagogy. The authors 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.

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.

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. .

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.

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.

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.

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.

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.

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.

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.

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.

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.

Abstract: This book presents a collection of scientific articles on recent research on innovations in biomedical engineering. Articles are divided into two chapters covering broad areas of experimental research and biomedical engineering, engineering of biomaterials as well as informatics and modelling in biomedical engineering. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike. The topics include not only theoretical considerations but also practical applications of research conducted in cooperation between engineers, doctors, and physiotherapists. .

Abstract: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.

Abstract: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.

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. .

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.

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.

Abstract: Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies -- A Digital REBA System Based on Kinect and its Benefits for Ergonomic Assessment -- Social Network Addiction: A Structural Equation Modelling -- The use of neural networks for the prediction of type II diabetes: a comparison of recent advances and perspectives -- Sequential prompts and AI to illustrate a Mexican legend using syntography -- Teaching skills mediated by perceived utility and ease of use in student motivation and collaboration -- Electronic Immunization Record for rural communities in México -- Automation of Brand Management: Possibilities, Challenges and Limitations -- Truth and newsworthiness in the era of Artificial Intelligence -- Emerging technological ecosystem for public administration: business intelligence, artificial intelligence and data mining -- Technology and Video Surveillance in educational spaces: A path towards citizen security -- Unraveling the Truth: Investigating the Spread of Fake News on Facebook during the COVID-19 Crisis -- Young people and social representations on artificial intelligence in Peru and Colombia -- An analysis of digital communication in Spanish agricultural cooperatives -- Use of social networks as a factor for the development of digital citizenship in Puebla -- “Do It Yourself” Narrative as a New Type of Tourism Influencers 2.0 on YouTube -- Big Data Analysis of Google Searches for Prediction of Election Results: A Longitudinal Study -- Communication 2.0 in Iberoamerican cultural websites -- Cross-cultural validation of a questionnaire on digital teaching competence in Mexico -- Digital transformation in Spain during the pandemic: Access, interaction and change in habits -- Scholarships assignments: an important challenge of resources allocation. Case study: Completion Prediction System for Mexican Institution -- Social Network Sites: Challenge for a learning management model. Case study in Ecuador -- Cybersecurity and journalism: Digital violence is another form of violence for female journalists in Ecuador -- Management of employer branding and communication 2.0 -- Digital citizenship through online media. Manifestations and perceptions in Ecuador.

Abstract: This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2023), jointly organized by the Colombian Association of Journalism and Science Communication (Colombia), and the Benemerita Universidad Autonoma de Puebla (Mexico); and as collaborators at the Universidad de Málaga (Spain), Universidade de Vigo (Spain), Universidade de Santiago de Compostela-Equipo de Investigaciones Políticas (Spain), Red Internacional de Gestión de la Comunicación (XESCOM),the International Media Management Academic Association (IMMAA), Red de Investigadores en Comunicación de Ecuador (RICE), and Observatorio Interuniversitario de Medios Ecuatorianos (OIME), during 6 – 8 September 2023. It covers recent advances in the field of digital communication and processes, digital social media, software, big data, data mining and intelligent systems.

Abstract: Using ChatGPT-4 to Grade Open Question Exams -- Usable Security: Cultural Impacts on Graphical Passwords Usability -- Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans -- Complementing Robotic Process Automation with Generative Artificial Intelligence (ChatGPT), Case of Robocorp -- Architectural Scalability of Conversational Chatbot: The Case of ChatGPT -- Hybrid Approach Involving Genetic Algorithm and Hill Climbing to Resolve the Timetable Scheduling for a University -- Chatbots: An Overview of Current Issues and Challenges -- Text Simplification System for Legal Contract Review -- Audio-based Detection of Anxiety and Depression via Vocal Biomarkers -- Automatic Detection and Spline-based Pixel-length Estimation of Fishes from Images.

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. .

Abstract: How Men React to Social Media Marketing is New Evidence for Marketers -- THE MALAYSIAN PEOPLE'S WELL-BEING INDEX TRENDS FROM 2016-2022 -- GREEN INVESTING AND FINANCIAL EDUCATION: THE CASE OF CHINA'S A-SHARE MARKET -- Revitalizing China Rural Industries through Innovation and Entrepreneurship Education: A Conceptual Framework -- BUILDING A RESEARCH MODEL FOR THE RELATIONSHIP BETWEEN ENTERPRISE INNOVATION VALUES AND EMPLOYEES INNOVATION BEHAVIOR: WITH INNOVATION SELF-EFFICACY AS A MEDIATOR -- Unpacking Financial Herding Behaviour: A Conceptual Study of Youth and Working Adults in Chongqing, China -- Systematic Literature Review: Behavioural Biases as The Determinants of Herding -- Conceptual Framework: Understanding the Influence of Monetary and Fiscal Policies on Investor Behavior in China's Renewable Energy Sector -- THE INTERPLAY BETWEEN INTEREST RATES, VOLATILITY, AND HERDING: INSIGHTS FROM THE CHINESE SHANGHAI STOCK MARKET -- THE ROLE OF VOLATILITY IN MEDIATING THE IMPACT OF RESERVE REQUIREMENT RATIO ON HERDING IN CHINESE SHANGHAI STOCK EXCHANGE -- Enhancing Predictive Maintenance in Manufacturing: A CNN-LSTM Hybrid Approach for Reliable Component Failure Prediction -- Advancing the Upper Echelon Theory with Environmental Dynamism and Big Data Analytics Capabilities -- APPLICATION OF THE ELEMENTS OF THE DUAL SYSTEM OF EDUCATION IN HIGHER EDUCATIONAL INSTITUTIONS -- Consumption Values and Subscription Loyalty: A Survey of Mobile Network Service Users -- Artificial Neural Network Approach for Predicting Student Achievement in Scratch Training -- Temperature control in wine fermentation using programming in LabVIEW -- ‘Roam the World, Share Your Heart’: Fostering re-participation intention among local voluntourists in Malaysia -- The Influence of Corporate Governance Structure on Directors’ ‎Remuneration Disclosure in Malaysia: An Analysis of The FTSE30 ‎Companies -- Factors Affecting Brand Loyalty Towards the Use of the Media Platform of the Federal Territories Islamic Religious Council (MAIWP) Among the Muslim Community in Kuala Lumpur -- The Development Status and Trends of Chinese Express Delivery Packaging in a Green and Low-Carbon Context -- Green Data Centers: A review of current trends and practices -- Economic Impact of Employment Generation Policies in India and Rural Poverty Alleviation: An Analytical Review -- An Empirical Study: Long Run and Short Run Impact of Macroeconomic Variables on Indian Stock Market Prices -- Last-Mile Delivery Innovations: The Future of E-commerce Logistics -- IS ESG THE KEY TO STIMULATE FINANCIAL PERFORMANCE? AN EMPIRICAL INVESTIGATION -- The Impact of High-Performance Work System on ‎Intellectual Capital, Organizational Resilience and ‎Innovation Growth: Evidence from the Micro Small ‎Medium Enterprise -- Role of Mosque Management Committee in Empowering the Muslim Community in India - A Systematic Review -- Beyond Humor: How Memes Shape Brand Associations and Drive Purchase Choices -- Green Consumers Purchase Intention and Sustainable Consumption of Organic Food Products: A Conceptual Framework for the Indian Middle-Class Market -- Voices of the Future: Generation Z's Views on AI's Ethical and Social Impact -- The Influence of Perceived Information Quality on Travel Satisfaction in Kuala Lumpur: A Perspective of Generational Difference -- A Study on Industrial Sustainability and the Growth of Environmental Stability: Path towards Green Development: A Review -- JUVENILE WORKER - AN IMPACT OF BPL FAMILY -- Quality Management Practices and Strategic Impact ‎on Performance Measures in Yemen's Construction In‎dustry -- Reforms in Indian Banking Sector: A Paradigm Shift in Growth and Financial Inclusion in India -- The mediating impact of strategic leadership on the relationship between digitalization and strategic planning of retail pharmacies -- The Role of Innovation in Waste Management for Enterprises: A Critical Review of the Worldwide Literature -- Application of High-Performance Work System with AI in employee recruitment and performance evaluation -- Training Needs Assessment for Operator Level Employees in Parking Management DKI Jakarta -- EXPLORING ECOLOGICALLY CONSCIOUS CONSUMER BEHAVIOUR (ECCB) SCALE FROM THE OUTLOOK OF HOUSEHOLD CONSUMERS -- The Role of Transportation Vehicle, Transportation Infrastructure, and Resistance to Change in Public Transport Towards Climate Change -- An Impact Analysis of Non-Performing Asset (NPA) of Banks on Profitability of the Banks in India -- The Impact of Online Learning and Soft Skills on College Student Satisfaction and Course Feedback -- Factors affected EMA adoption: The moderating role of ‎resource bricolage -- Optimizing Supply Chain Through Risk Analysis: A Path to Enhanced Efficiency and Resilience -- SEARCH ENGINE MARKETING ON THE PERFORMANCE OF SMALL – ‎MEDIUM ENTERPRISES: A MEDIATING VARIABLE OF CULTURE -- Capacity for innovation frugal: the look from companies incubated in park ‎technology and inco-working spaces -- CUSTOMS LOGISTICS IN THE CONDITIONS OF WAR IN UKRAINE -- People's Perceptions of the Benefits, Risks, and Acceptance of Services Delivered ‎by Drones in the United Arab Emirates -- Exploring the Dynamics of Bitcoin Volatility During the ‎COVID-19 Pandemic and Vaccination Rollout -- Financial Literacy Scale Development: Reliability and Validity Analysis on Managers in ‎Institutions Affiliated to Istanbul Provincial Health Directorate -- Limited Ownership and the Power of Sharing Tangible ‎and Intangible Assets -- SATISFACTION OF TRAVELERS TOWARDS USING INSTAGRAM ‎AS MEDIUM OF SEARCHING FOR DESTINATIONS WITH ‎REFERENCE TO BANGLORE CITY- SEM APPROACH -- A Look on Sustainable Human Development, Gender Gap and Welfare: Evidence from ‎Capital Markets.

Abstract: This book aims to provide a comprehensive understanding of the interplay between technology and business and its implications for future growth and innovation. In today's rapidly changing world, technology plays a crucial role in shaping the business landscape. Advancements in artificial intelligence, blockchain, data analytics, and automation have revolutionized how organizations operate, compete, and achieve success. Understanding the profound impact of technology on business is vital for entrepreneurs, managers, policymakers, and academics alike. This book aims to explore the connection between technology and business, highlighting its importance in driving transformative changes across various industries. We welcome scholars, researchers, and practitioners to share their expertise and insights in this exciting endeavor. This book captures the essence of exploring the dynamic relationship between technology and business, emphasizing the potential for innovation and growth. It conveys the idea of embracing the transformative power of technology within the business realm and the opportunities it presents for unleashing new ideas and strategies. By delving into various aspects such as emerging technologies, business strategies, innovation, and ethical considerations, it aims to provide a comprehensive understanding of the symbiotic relationship between technology and business. It offers insights into the integration of technology into decision-making processes, the transformative impact on different industries, and strategies for leveraging technology to drive organizational growth and sustainability. Furthermore, the book highlights real-world case studies, explores emerging trends, and discusses the ethical and social implications of technology adoption in the business context. It serves as a valuable resource for entrepreneurs, managers, policymakers, academics, and anyone interested in understanding and harnessing the potential of technology for business success. This book aims to be a valuable resource for individuals interested in the transformative power of technology in the business realm. By compiling a collection of insightful chapters, it offers readers a diverse range of perspectives, frameworks, and case studies that shed light on the complexities and opportunities associated with technology-driven business environments.

Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Abstract: Key Factors of Business Sustainability: Analysis of Human Resources’ Versus Business Performance in Case of Serbian Companies -- Robot Movement Programming and Simulation Generation for Pick and Place Materials in ABB Robot Studio -- Bucket Wheel Excavator Reliability Improvement by use of Probabilistic Approach and Fault-Tree Analysis -- Risk Management of Foreign Trade Financing of Bosnia and Herzegovina -- CAD/CAM Approach to Automation of the Production Process -- Bookshelf Scanning Mechanism with Arduino Control -- Development of a Method for Testing Temperature Distribution During 3D Printing of Specimens with Application in Aerospace Industry -- Determination of Compression Response for Various Dried Vegetables -- Energy Efficiency in Serbia: Challenges and Opportunities.

Abstract: The book is a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2023) held at Zlatibor, Serbia from 4th July to 7th July 2023. The book discusses various industrial, engineering and scientific applications of engineering techniques. Researchers from academia and industry present their original work and exchange ideas, experiences, information, techniques, applications and innovations in mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.

Abstract: 1. A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network -- 2. Analysis of Pollard Rho attacks over ECDLP -- 3. Modelling Networks with Attached Storage using Perfect Italian Domination -- 4. Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network -- 5. Automated tool for toxic comments on YouTube -- 7. Directional Edge Coding for Facial Expression Recognition System -- 6. A Cascaded 2DOF-PID control technique for drug scheduling of chemotherapy system.

Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.