This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.

This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.

This book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.

This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.

This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.

5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design offers a comprehensive overview of 5G and beyond 5G wireless networks along with emerging technologies that support the design and development of wireless networks. It also includes discussions on various materials used for practical antenna design which are suitable for 5G, beyond 5G applications, and cell-free massive MIMO systems. The book discusses the latest techniques used in 5G and beyond 5G (B5G) communication, such as non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, 6G ultra-dense O-RAN, rate-splitting multiple access (RSMA), simultaneous wireless information and power transfer (SWIPT), massive multiple input multiple output (mMIMO), and cell-free massive MIMO systems, which are explained in detail for 5G and beyond cellular networks. The description of NOMA and their benefit for 5G and beyond networks is also addressed along with D2D communication for next generation cellular networks. RSMA technique is also explained for 6G communication. Detailed descriptions for the design and development of 5G and beyond networks over various techniques are included. The materials specification to design antenna for 5G application are also given. The role of metalens in designing effective antennas and material specifications for 5G applications is explained in this book. Apart from the above emerging topics, this book also gives ideas about intelligent communication, Internet of Multimedia Things (IOMT), millimeter-wave MIMO-UFMC, and fog computing cloud networks. The last chapter gives details about the legal frameworks for 5G technology for responsible and sustainable deployment. Overall, this book may benefit network design engineers and researchers working in the area of next generation cellular networks. The contents of this book will be helpful for young researchers and master students, and network design engineers who are working in the area of next generation cellular networks.

This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on ​novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.

The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.