Ethical Artificial Intelligence in Power Electronics

Tarandeep Kaur Bhatia, Salma El Hajjami, Keshav Kaushik, Gayo Diallo, Mariya Ouaissa, Inam Ullah Khan, Tarandeep Kaur Bhatia, Salma El Hajjami, Keshav Kaushik, Gayo Diallo, Mariya Ouaissa, Inam Ullah Khan

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032631158
• eBook ISBN: 9781040091012
• Topic: Technology & Engineering
• Subtopic: Neural Networks
• Index: Technology & Engineering

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.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Editor Biographies
• List of Contributors
• Chapter 1 Ethical Machine Learning for Future Applications
• Chapter 2 Ethical Machine Learning for Internet of Things Network
• Chapter 3 Ethical Use of Machine Learning Techniques in Smart Cities
• Chapter 4 Strategies Used in Machine Learning for VANETs
• Chapter 5 Study on Routing Protocols and Ethical Machine Learning in Internet of Things Networks
• Chapter 6 Reinventing Artificial Intelligence and Blockchain for Preserving Medical Data
• Chapter 7 From Industry 4.0 to 5.0: Navigating the Human-Tech Symbiosis in the Era of COVID-19
• Chapter 8 AI-Enabled Risk Assessment and Safety Management in Construction
• Chapter 9 Efficient Energy Utilization in Smart Grids: An Artificial Intelligence Perspective
• Chapter 10 IoT-Based Electrical Appliances
• Index