Abstract: Artificial Intelligence of Things (AIoT) for Renewable Energies Systems -- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity -- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine -- Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network -- Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application -- Machine Learning-based Maximum Power Point Tracking Technique for Concentrated PV/TEG System under Non-Uniform Environmental Conditions -- Two-Dimensional Nanomaterials for Solar Cell Technology -- Improving Control for an Induction Machine using Artificial Intelligence -- Evaluation of the Recommended Algorithms in the Internet of Things -- Exposing Applications of IoT in Green Computing.

Abstract: This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.

Abstract: Part I: Communication Networks and Cybersecurity -- Enhancing the Performance of Cloud Environment by a Novel Three-Stage Task Scheduling Policy -- A new approach to coupled IR sensor based Real Time system for alerting old people accidents in Rest room -- Gesture Recognition Based Virtual Mouse And Keyboard -- IoV-based Application using Deep Learning Approach -- DDoS Attack Prediction using Decision Tree and Random Forest Algorithms -- The impact of Control Plane Attacks in Software Defined Networks Environments -- Compressed data aggregation using regulated duty cycle for WSN-IOT networks -- Improving Data Centre Power Efficiency by Applying the VM consolidation Approach -- Integration of a UHF Fractal Antenna into a 1U CubeSat for Low-Earth Orbit Mission -- A Novel & Innovative Blockchain-Empowered Federated Learning Approach for Secure Data Sharing in Smart city Applications -- Design and modelling of renewable energy sources using a partial power converter -- A qualitative study of the effects of socio-organizational factors on the information security culture of employees in a financial institution -- Part II: Embedded Systems and Smart Applications -- An Overview of Concentrated Photovoltaic Technology -- Electronic Prescription Service for Improved Healthcare Delivery -- A Review on Blockchain Smart Contract Applications -- Carbonic Acid Gas Emission Rating by Vehicles Using Datascience Techniques -- Robotics cyber security issues -- Part III: Computational Intelligence -- A comparative study of GANs (text to image GANs) -- QCNN- A Conceptual Framework for Duplicate removal in Big Data using Quality assured Crowd sourcing coupled with Neural networks -- Design and Implementation of Camera-based Security System (CBSS) for Detecting Missing Persons -- Design and Implementation of a Secure Patient Recommender and Prediction System -- SDD: An Efficient Stacked Deep Learning Technique for Social Distance Detection -- Junk Mail Content Detection using Logistic Regression Algorithm -- Predicting Fish Habitat in the Persian Gulf Using Artificial Intelligence -- Evaluation of Text Classification using Support Vector Machine compare with Naive Bayes, Random Forest Decision Tree and K-NN -- Emotion AI -- Accuracy Prediction of Rainfall Using Decision Tree Algorithm and Random Forest -- Fraud detection using decision tree algorithm to curb identity theft -- Academic Performance Prediction using Machine learning algorithms -- Accuracy Of Water Quality Prediction Using Random Forest Regression and Artificial Neural Network -- Indian Sign Language Recognition System for Interrogative Words using Deep Learning -- New Approach of Artificial Intelligence in Digital Forensic Investigation: A Literature Review -- Comparative analysis of machine learning classifiers for plant leaf disease detection -- Effective House Price Prediction Using Machine Learning -- Colour Trend Analysis using Machine Learning and Histogram -- A new AI-based approach for Rental Tax Evasion Management in Iran (Ethical Consideration) -- Bibliometric Analysis of Scientific Literature on Mental Health Research in Africa -- Multi-Modal Sentiment Analysis using Text and Audio for Customer Support Centers -- Comparative Analysis on the use of Teleconsultation using Support Vector Regression and Decision Tree Regression to Predict Patient Satisfaction -- COVID-19 in the UK: Sentiment and Emotion Analysis of Tweets Over Time -- Deep learning based sentiment analysis of customer reviews on hotels through tweets -- Diagnosis of Diabetes Type using Random Forest Algorithm and SVM for improving Accuracy -- Biometric Recognition Systems: A Short Survey -- Lung Histopathological Detection Using Image Classification -- A novel approach of Machine learning application in Astrophysics: Morphological feature wrapping based ensemble method for Galaxy shape classification using GAMA dataset -- Evaluating the Performance of a Hybrid Model for Classification of Bicycle Crash Severity and Identification of Associated Risk Factors -- Digital Transformations In Medical Applications Using Audio And Virtual Reality Procedures -- Part IV: Special Session 1 : Digital Transformation of Contemporary Business Practices -- A Review of Social Media Marketing on Digital Savvy Brand Shoppers -- Online Buying Behavior of UK University Students -- Factors Impacting A UK Based Software Business on International Expansion -- The Role of Blockchain Technology and Student Coin Case in Saudi Arabia's Higher Education Sector. The Challenge of Achieving 2030 Vision -- Part V: Special Session 2: Applications of Technology for Mental Health -- Research Protocol for a Preliminary Evaluation of a Gamified Tool for Adult Wellbeing -- Development and Evaluation of „Perspective: Counselling Simulator“: A Gamified Tool for Developing Risk-Assessment Skills in Trainee Counsellors -- Initial Evaluation of a Mobile Therapeutic Game for Adolescent Anxiety Disorders -- New Technologies and Interventions to Improve the Mental Health of People with Diabetes -- Help over harm: Practical and ethical considerations for the evaluation and deployment of therapeutic games -- Positive addiction recovery for an online audience: Implementation design and user evaluation -- A solution for creating dynamic networks of symptoms based on patients’ big data in cognitive-behavioral functional analysis and therapy – participatory design protocol -- Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance.

Abstract: Today, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning. This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations. The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.

Abstract: Chapter 1. An Overview of Blockchain and 5G Networks -- Chapter 2. Deep Learning Approach for Interference Mitigation in FBMC/OQAM-MIMO Systems -- Chapter 3. Deep Learning in Non-Orthogonal Multiple Access for 5G and beyond Networks -- Chapter 4. Traffic Sign Detection: A Comparative Study between CNN and RNN -- Chapter 5. Merging Attack-Defense Tree and Game Theory to Analyze Vehicular Ad-Hoc Network Security -- Chapter 6. A Secure Vehicle to Everything (V2X) Communication Model for Intelligent Transportation System -- Chapter 7. A Novel Unsupervised Learning Method for Intrusion Detection in Software Defined Networks -- Chapter 8. Deep Reinforcement Learning Modeling of a V2V communication-based Bike Avoidance Protocol for Increased Vehicular Flow -- Chapter 9. Deep Learning-based Modeling for Pedestrian Perception and Decision Making in Refuge Island for Autonomous Driving -- Chapter 10. Machine Learning for Hate Speech Detection in Arabic Social Media -- Chapter 11. PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services -- Chapter 12. QSAR anti-HIV Feature Selection and Prediction for Drug Discovery using Genetic Algorithm and Machine Learning Algorithms -- Chapter 13. Mining Electronic Health Records of patient using Linked Data for Ranking Diseases -- Chapter 14. Deep Neural Networks based Delay Driving the Alpha Factors Ranking based Clustering: Exploring the COVID-19 Pandemic’s Impact on the Economy and Markets -- Chapter 15. An Artificial Immune System for the Management of the Emergency Divisions.

Abstract: This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development. Presents Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve communication networks related issues as well as real world applications; Provides a focus on how AI/ML can be applied in different layers of communication networks; Highlights solutions that help analyze complex patterns in user data and ultimately improve productivity.

Abstract: Machine Learning and AI Approach to Improve UAV Communication and Networking- Implementation of Machine Learning Techniques in Unmanned Aerial Vehicle Control and its Various Applications -- Machine Learning Techniques for UAV Trajectory Optimization: A Survey -- .

Abstract: This book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks. This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond. This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used. This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communication network optimization, security, and anomaly detection.

Abstract: Achieving Sustainable Development Goals Through Digital Infrastructure for Intelligent Connectivity -- Implementation of Intelligent Iot -- Cyber Security Challenges for Smart Cities -- Efficient Machine Learning Technique for Early Detection of Iot Botnets -- Ai-Based Smart Robot for Restaurant Serving Applications -- A Novel Deep Learning Architecture Based Iot Time-Series for Energy Consumption Forecasting in Smart Households -- Performances of Cpv Optics in Morocco -- Artificial Intelligence Based on Particle Swarm Optimization for Optimal Wind Turbine Power Control Using Doubly Fed Induction Generator -- A Comparative Study Between Narx And Lstm Models in Predicting Ozone Concentrations: Case of Agadir City (Morocco) -- Spatiotemporal Prediction of Pm2.5 Concentrations Based on Iot Sensors: A Case of Study in Taiwan -- Comparative Study Between Different Recommendation Systems in Smart Agriculture -- Configuration Security for Sustainable Digital Twins of Industrial Automation And Control Systems in Emerging Countries -- An Empirical Investigation on Lean Method Usage: Issues And Challenges in Afghanistan -- Optimization of the Effects Oscillation Welding: Sinusoidal and Triangular Beam During Laser Beam Welding of 5052-H32 Aluminum Alloy.

Abstract: This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.