This book focuses on the techniques of artificial intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power. With the intention of optimizing the powerful energy of the vehicles and producing reliable energy, the most efficient methods, algorithms, and strategies of ethical artificial intelligence (AI) are being applied. By employing machine learning methods, the optimization of power energy in vehicles can be quickly recovered and managed efficiently. In today’s bustling world, power energy is indispensable for progress, yet in congested Vehicular Ad-hoc Networks (VANETs), vehicles often face power depletion and decreased efficiency. This book explores these challenges, encompassing not only power but also other critical power electronics within vehicles. We aim to introduce innovative approaches, leveraging ethical AI methods, to optimize energy performance in the face of these difficulties. Through this exploration, we seek to provide practical insights into navigating congested VANET environments while upholding ethical principles in technological advancements. Our book will discuss the current power energy concerns faced by vehicles and also contribute a novel strategy to overcome those concerns. The employment of ethical AI in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.

Ethical Artificial Intelligence in Power Electronics focuses on the techniques of artificial intelligence that are used in the power electronics field, with particular emphasis on the optimization of lost vehicle power and the vehicular ad-hoc networks (VANETs) environment. Power energy is considered the most basic requirement for the development of today's life. This book examines how the most efficient methods, algorithms, and strategies of Ethical Artificial Intelligence may be applied with the aim of optimizing the powerful energy of vehicles and to produce reliable energy. The book gives a practical introduction to the difficulties of power energy faced by vehicles in the extremely congested VANETs conditions and shares approaches to resolve these issues by optimizing the energy performance in the vehicles by the new Ethical-AI methods. The book covers current power energy concerns faced by vehicles and contributes a novel strategy to overcome these concerns. The employment of Ethical-AI strategy in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.

This book offers an examination of cutting-edge energy infrastructure by diving deep into such topics as the design of emerging technologies, their practical implementation, and the history and context of the electrical electronics & thermodynamics procedures used for renewable energy. This book is perfect for upper-level engineering classes on renewable energy, resources, both electrical and thermal energy generation, and long-term viability and is going to be of use to recent engineering graduates, scholars, professors, as well as business professionals currently employed in the field of renewable energy. There is a growing interest in finding innovative approaches to engineering challenges faced by renewable energy technologies, therefore it is imperative that audiences has the technical knowledge and practical abilities to design and execute such solutions. Recent developments in specialized renewable energy systems are explored in depth throughout a variety of modules, including collection and conversion, system planning and evaluation, and project creation and execution. This book includes topic like Wind Energy Conversion, Types and classification of WECS; Power, torque and speed characteristics, Site Selection Criteria, Wind Rose Diagram, Wind Energy Conversion System, Design-Design of Wind Turbine, Wind Energy Application, Wind pumps. Principle of WEG, Economics of wind energy utilization; Wind energy in India, Small Hydropower Systems, Hydrology, Elements of pumps and turbine; Selection and design criteria of pumps and turbines, Speed and voltage regulation; Investment issues load management and tariff collection; Distribution and marketing issues, Potential of small hydro power in India, SHP, Renovation and Modernization, OTEC, Tidal Energy, Geothermal, MHD-Thermionic-Thermoelectric energy conversion system, Fuel Cells, Batteries, Micro Alge, Biodiesel from Alge.

Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

In this ambitious collection, Zofia Bednarz and Monika Zalnieriute bring together leading experts to shed light on how artificial intelligence (AI) and automated decision-making (ADM) create new sources of profits and power for financial firms and governments. Chapter authors-which include public and private lawyers, social scientists, and public officials working on various aspects of AI and automation across jurisdictions-identify mechanisms, motivations, and actors behind technology used by Automated Banks and Automated States, and argue for new rules, frameworks, and approaches to prevent harms that result from the increasingly common deployment of AI and ADM tools. Responding to the opacity of financial firms and governments enabled by AI, Money, Power and AI advances the debate on scrutiny of power and accountability of actors who use this technology. This title is available as Open Access on Cambridge Core.

Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.

The digital age has witnessed the meteoric rise of artificial intelligence (AI), a paradigm-shifting technology that has redefined the boundaries of computation and decision-making. Initially, AI's journey began with basic rule-based systems, evolving into the current digital age is dominated by complex machine learning and deep learning models. The digital AI presence and progression has brought with it a myriad of ethical challenges, necessitating a rigorous examination of AI's role in complex and interconnected systems. Ethical Dimensions of AI Development notes that the core of these challenges are issues of privacy, transparency, and validity. AI's ability to process vast datasets can intrude on individual privacy, while opaque algorithmic decision-making processes can obscure transparency. Addressing these ethical concerns is crucial to fostering trust and ensuring the responsible use of AI technologies in society. Covering topics such as accountability, discrimination, and privacy and security, this book is an essential resource for AI researchers and developers, data scientists, ethicists, policy makers, legal professionals, technology industry leaders, and more.

Electrification is a paradigm change that is now taking place in the transportation sector, with the goal of producing cars that are more efficient, superior in performance, safer, more intelligent, and more dependable. As a matter of fact, there is a discernible movement toward the transition away from internal combustion engines (ICEs) and toward more integrated electric powertrains. Beginning with an introduction to the automotive industry, an explanation of the need for electrification, and a treatment of the principles of conventional vehicles and internal combustion engines (ICEs), Advanced Electric Drive cars provides a comprehensive overview of this rapidly expanding field. After that, it goes on to discuss the primary elements that are included in electric vehicles, which include power electronic converters, electric machines, electric motor controllers, and energy storage systems. More electric vehicles (MEVs), plug-in hybrid electric vehicles (PHEVs), hybrid electric vehicles (HEVs), range-extended electric vehicles (REEVs), and all-electric cars (EVs) are included in this type of vehicle. Battery electric vehicles (BEVs) and fuel cell vehicles (FCVs) are also included in this category. A textbook that is appropriate for senior-level undergraduate or graduate engineering courses, Advanced Electric Drive Vehicles is also a reference that is user-friendly for researchers, engineers, managers, and other professionals who are interested in the electrification of transportation.

With the aid of the fundamentals of Electrical Engineering and Applications, students may study the principles of electrical engineering with little difficulty. The whole learning experience will be improved, and students will be better able to apply the principles of electrical engineering to challenges in their respective disciplines. Both first-year electrical engineering students and non-majors taking a survey course in the field will find this book's coverage of circuit analysis, digital systems, electronics, and electromechanics accessible and engaging. Learning about and building things with electronics can be, and should be, enjoyable. This text, therefore, takes an approach that is intended to make learning about electrical engineering fundamentals fun. Fundamentals of Electrical Engineering and Applications deals with the study, design, and application of equipment, devices, and systems that use electricity, electronics, and electromagnetism. Electrical Engineering concentrates on the representation, manipulation, transmission, and reception of information by electrical means.