Brian Azzopardi – författare

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.

The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.

The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Presenting the latest research on the sustainable development of energy systems, this book provides a broad and holistic perspective on various aspects of renewable energy sources and grid integration. It highlights the integration of renewable and alternative systems into existing infrastructures, and explores the synchronization of environmental and development needs with other social challenges. The research presented is supported by original illustrations and tables, and provide the basis for future research on the topic. Offering an invaluable resource to those working in sustainable development, this book is also intended for students and researchers of engineering, economics and social sciences, as well as government entities and librarians.