Ethical Artificial Intelligence In Power Electronics
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Ethical Artificial Intelligence in Power Electronics
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.
Artificial Intelligence for Power Electronics
Author: Ahteshamul Haque
language: en
Publisher: John Wiley & Sons
Release Date: 2025-08-25
Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI, the fundamentals of power electronics and the challenges the field faces in design to production, and the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in Artificial Intelligence for Power Electronics include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
Navigating Privacy, Innovation, and Patient Empowerment Through Ethical Healthcare Technology
The advancement of public health and healthcare delivery has reached a pivotal moment where the integration of emerging technologies such as artificial intelligence, blockchain, and the metaverse is not only possible but necessary. The world stands on the threshold of a digital era reshaped by recent global health crises. With the complex interplay between innovative technological solutions and the traditional realms of public health and integrated care, it is imperative to protect sensitive medical data through robust privacy laws and ethical frameworks that keep pace with technological advancements. The unfortunate reality that infectious diseases are becoming more prevalent underscores the urgency for a new approach to healthcare that leverages digital solutions for better disease management and patient care. Navigating Privacy, Innovation, and Patient Empowerment Through Ethical Healthcare Technology provides a comprehensive analysis of how these technologies can be ethically and effectively incorporated into public health strategies while safeguarding individual privacy and empowering patients. By addressing the dual challenges of technological integration and data privacy, the book catalyzes a shift towards more innovative, ethical, and effective healthcare delivery systems that are equipped to meet the needs of the digital age. Covering topics such as rare diseases, public services, and diagnosis systems, this book is an excellent resource for medical professionals, hospital administrators, public health officials, healthcare policymakers, professionals, researchers, scholars, academicians, and more.