Aparna Kumari – författare

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students, and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. The book covers foundational knowledge, including the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus cybersecurity implications).A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, this book provides multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future.

Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialistsCollects the real-world experiences of global expertsEnables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids

Autonomous Vehicle Safety Solutions: Foundations, Technologies, and Prospects for the Future addresses the dynamically evolving state of the art that traverses and brings together automotive engineering, electronics engineering, and computer science. Its technical overview of smart vehicles' capabilities, propelled by headway in artificial intelligence and sensor technologies, enables in-depth understanding of the safety-assurance complexities that guide their design and operation.The comprehensive volume distinguishes itself for its treatment of several exciting, emerging opportunities and trends, including machine learning algorithms, V2X connectivity, and cybersecurity. Up-to-date applications are featured through practical examples and expert insights, bringing additional value to a discourse which underscores the critical need for ongoing safety advancements and adaptability in the fast-moving context of autonomous driving systems, with their related implications on sustainability and society as a whole.The outcome is a cornerstone resource for academia and industry alike that encourages further transformative, interdisciplinary investigations to bring safety solutions to maturity and subsequent rigorous testing for validation standards to be defined, thus realizing, in a future not distant from now, a scenario where self-driving vehicles can co-exist seamlessly with traditional modes of transportation and also integrate reliably, efficiently, and without risks within the larger infrastructure.Systematically discusses cutting-edge innovations, processes, and protocols that significantly determine autonomous vehicle safetyOffers a forward-looking perspective on breakthrough developments focused on safety and reliability for autonomous drivingIncludes case studies that encapsulate implementation challenges, lessons learnt, and possible practical solutions

Electric vehicles (EVs) continue to capture a growing share of the smart car market across the globe. Like most new technologies, e-mobility comes with a learning curve. Securing Electric Mobility provides readers with in-demand knowledge relating to the dynamically evolving intersection between information & communication technology and vehicle engineering.The edited volume offers in-depth understanding of the distinct features of EV cybersecurity. It opens with a description of the fundamental elements of EVs, their interconnectedness, their cyber-physical characteristics and resulting vulnerabilities. It then dissects the digital threat landscape to increase awareness of all possible risks posed by cyberattacks on electric vehicles, and from there it systematically covers data management, regulatory frameworks, existing solutions and emerging cybersecurity protocols and methodologies that are enhanced by blockchain, artificial intelligence, Internet-of-Things integration, machine learning, and real-time monitoring systems. The value of this thorough overview is strengthened further through the inclusion of real-word case studies, which prove the effectiveness of the adopted approaches to safeguard vehicle control systems, owners’ personal data, and the broader cyber-physical network and related equipment.This book proves to be an indispensable, state-of-the-art resource for academia and industry alike as it encourages further transformative, interdisciplinary investigations into the security-assurance complexities that guide EVs’ resilience evolution.Offers insights into unique cybersecurity problems associated with the era of electric vehiclesOutlines best practices for the vital protection of charging infrastructure, which is an often disregarded facet of EV cybersecurityIncludes case studies that encapsulate implementation opportunities, lessons learnt from challenges arisen in this context, and evaluation of the practical solutions adopted

At the intersection of cutting-edge technology and environmental stewardship lies the transformative potential of 6G. This book examines the critical relationship between advanced energy-efficient hardware, intelligent infrastructure integration, and environmental conservation, exploring how ultra-fast communication technologies can revolutionize our approach to sustainability while delivering unprecedented connectivity.From augmented reality applications promoting sustainability to intelligent transport systems, green energy solutions, and environmental conservation support, this book presents real-world case studies that illuminate 6G's practical potential. In the emerging era of generative AI, readers will discover how these technologies can work in concert to address our most pressing ecological challenges while creating new opportunities for innovation and growth.This essential resource speaks to a diverse audience of technology professionals, environmental scientists, policy makers, and forward-thinking business leaders in the fields of communication technology, environmental science, and sustainable development.

Understand the future of a thriving research toolkit with this introduction to big data analytics In recent decades, big data analytics has undergone rapid growth to become an essential tool in a variety of research and technological fields. Advances in technology and the rise of the internet led to an explosion in the volume of data available, and as data processing capabilities continue to improve, further expansion in this field is certain. It has never been more important to understand the state of this vital field and its likely applications in new areas of research. Big Data Technologies and Analytics offers a thought-provoking investigation of this thriving field and its major touchstones, including artificial intelligence, the internet of things, blockchain, and more. It explores how these technologies are transforming industries and enabling a huge range of data-driven strategies. Addressing the topic of quantum computing and its potential to handle even larger datasets and computational issues, the book promises to point towards revolutionary developments in data analysis. Big Data Technologies and Analytics readers will also find: Findings connected to United Nations Sustainable Development Goals (SDGs)Detailed discussion of big data topics including historical development, present-day innovations, and potential future directionsTreatment of application areas from predictive maintenance to smart cities to safe transactions and moreBig Data Technologies and Analytics is ideal for students and researchers looking to understand the future of data analysis.

All the chapters are written by experts and researchers working in various areas of the biomedical and healthcare domain and they also dive into one of the most overlooked methodological, practical, and moral questions to secure and handle the enormous amount of data being generated from IoT-enabled biomedical and healthcare systems.