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This book gathers selected research papers presented at the 5th International Conference on Energy Systems, Drives, and Automation (ESDA 2022). It covers a broad range of topics in the fields of renewable energy, power management, drive systems for electrical machines, and automation. This book also comprehensively discusses related tools and techniques and is a valuable resource for researchers, professionals, and students in electrical and mechanical engineering disciplines.

This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2024). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

This book provides readers with expert knowledge on the design of fast charging infrastructures and their planning in smart cities and communities to support autonomous transportation. The recent development of fast charging infrastructures using hybrid energy systems is examined, along with aspects of connected and autonomous vehicles (CAV) and their integration within transportation networks and city infrastructures. The book looks at challenges and opportunities for autonomous transportation, including connected and autonomous vehicles, shuttles, and their technology development and deployment within smart communities. Intelligent control strategies, architectures, and systems are also covered, along with intelligent data centers that ensure effective transportation networks during normal and emergency situations. Planning strategies are presented to demonstrate the resilient transportation infrastructures, and optimized performance is discussed in view of performance indicators andrequirements specifications, as well as regulations and standards.

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 is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.