Ethical Artificial Intelligence in Power Electronics

1. Auflage 2024
ISBN: 978-1-032-63115-8
Verlag: CRC Press

Buch, Englisch, 176 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 541 g

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Bhatia, Tarandeep Kaur

Hajjami, Salma El

Kaushik, Keshav

Diallo, Gayo

Ouaissa, Mariya

Khan, Inam Ullah

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

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 Appliance.

Über Autor(innen)

Dr. Tarandeep Kaur Bhatia is Assistant Professor at the University of Petroleum & Energy Studies (UPES) Bidholi, Dehradun, India. She received a Ph.D. degree in Computer Science Engineering from Deakin University, Australia, has filed 20 Patents, and is a reviewer for multiple IEEE journals.

Dr. Salma El Hajjami (Eng., Ph.D.) is Assistant Professor and Researcher at Faculty of science, Ibn Zohr University, Agadir, Morocco. She is recieved a Ph.D in Computer Science at the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She has previous experience in the Ministry of the Interior, Morocco, as Research and Development Engineer. She has served and continues to serve on technical program and organizer committees of several conferences also as a reviewer of numerous international journals.

Dr. Keshav Kaushik is Assistant Professor (Senior Scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published 80+ research papers in International Journals and has presented at reputed International Conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He has edited over ten books with reputed international publishers including Taylor & Francis and Springer.

Dr. Gayo Diallo is Professor in Computer Science at Bordeaux University, France, and Deputy Director of the AHeaD Research Group of the Bordeaux Population Health (BPH) Research Center. Previously he was Research Assistant at City University of London (UK) and PostDoc researcher at the Laboratory of Applied Computer Sciences (LISI/ENSMA) Futuroscope Poitiers (France). He has coordinated several international and regional R&D projects and has been involved or coordinated various EU or other international funded projects. He has been Visiting Professor at University of Minnesota/the Institute of Health Informatics, US. He has authored or co-authored more than 100 peer-reviewed papers on symbolic AI and digital health.

Dr. Mariya Ouaissa is Professor at the Institute Specializing in New Information and Communication Technologies, Researcher Associate and a practitioner with industry and academic experience. She recieved a Ph.D. in Computer Science and Networks at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. She has published over 20 papers (book chapters, international journals, and conferences/workshops) and co-edited 8 books and 5 journal special issues.

Dr. Inam Ullah Khan is the Founder of Internet of Flying Vehicles-Lab at AI-EYS. He has worked as Global Mentor/Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain, and as Visiting Researcher at King’s College London, UK. He has also been a faculty member at the Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He received a Ph.D. in Electronics Engineering from Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He has authored or coauthored more than 50 research articles in reputable journals, conferences and book chapters. He has served international conferences as technical program committee member He has co-edited several books. He is also Guest Editor with several journals.