Explainable Artificial Intelligence for Autonomous Vehicles (eBook, ePUB)

Concepts, Challenges, and Applications
Redaktion: Malik, Kamal; Shamsi, Yahya Obaid Bakheet Al; Agarwal, Deevyankar; Gupta, Umesh; Deswal, Suman; Sharma, Moolchand

• Format: ePub

Produktbeschreibung

The book "Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications" is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 14. August 2024
• Englisch
• ISBN-13: 9781040099346
• Artikelnr.: 72282663

Autorenporträt

Kamal Malik is currently working as a Professor in CSE in the School of Engineering and Technology at CTU Ludhiana, Punjab, India. She has published Scientific Research Publications in reputed International Journals, including SCI and Scopus indexed Journals. Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has published scientific research publications in reputed international journals and conferences, including SCI-indexed and Scopus-indexed journals. Suman Deswal holds a Ph.D. from DCR University of Science & Technology, Murthal, India. She completed her M. Tech (CSE) from Kurukshetra University, Kurukshetra, India, and B. Tech (Computer Science & Engg.) from CR State College of Engg., Murthal, India, in 2009 and 1998, respectively. She has 18 years of teaching experience and works as a Professor in the Department of Computer Science and Engineering at DCR University of Science and Technology, Murthal, India. Her research area includes wireless networks, heterogeneous networks, distributed systems, Machine Learning and Bioinformatics. Umesh Gupta is currently an Associate Professor at the School of Computer Science Engineering and Technology at Bennett University, Times of India Group, Greater Noida, Uttar Pradesh, India. He received a Doctor of Philosophy (Ph.D.) (Machine Learning) from the National Institute of Technology, Arunachal Pradesh, India. He has awarded a gold medal for his Master of Engineering (M.E.) from the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India, and Bachelor of Technology (B.Tech.) from Dr. APJ, Abdul Kalam Technical University, Lucknow, India. His research interests include SVM, ELM, RVFL, machine learning, and deep learning approaches. Deevyankar Agarwal is a lecturer at the University of Technology and Applied Sciences in Muscat, Oman. He works in the Engineering Department, EEE Section (Computer Engineering),. He has 22 years of teaching and research experience. He is currently a doctoral researcher at the University of Valladolid, Spain. Yahya Obaid Al Shamsi is working as the Dean of Engineering at the University of Technology and Applied Sciences in Muscat, Oman. He has 25 years of teaching and research experience. He got his PhD from the University of Bath, Department of Architecture and Civil Engineering, UK.

Inhaltsangabe

1. Autonomous Vehicles. 2. Explainable Artificial Intelligence:
Fundamental, Approaches, Challenges, XAI evaluation and validation. 3.
Explainable Artificial Intelligence in Autonomous Vehicles: Prospects and
Future Direction. 4. XAI Applications in Autonomous Vehicles. 5. Emerging
Applications and Future Scope of Internet of Vehicles for Smart Cities- A
Survey. 6. Future Issues and Challenges of Internet of Vehicles- A Survey.
7. Feature Designing and Security Considerations in Electrical Vehicles
utilizing Explainable AI. 8. Feature Detection and Feature Visualization in
Smart Cars utilizing Explainable AI.