Häftad, Engelska, 2026
Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure
Av V. Subramaniyaswamy, R. Bala Krishnan, R. Elakkiya, N. Rajesh Kumar
2244 kr
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Beskrivning
This book is a useful resource for researchers, scientists, advanced students, software engineers, data scientists, R&D professionals, and other industrial personnel working at the intersection of computer science, electrical engineering, artificial intelligence, data science, and machine learning with an interest in advancing AI and ML applications in electric vehicle technologies.
- Demonstrates how AI algorithms improve battery management, energy use, and vehicle performance to tackle EV reliability and efficiency issues
- Explains how predictive analytics leverage data science and machine learning to prevent vehicle malfunctions, minimizing downtime and reducing maintenance costs
- Showcases the development of smart charging infrastructure that utilizes data analysis to optimize energy distribution and significantly cut charging times
- Discusses the role of AI and data science in advancing autonomous driving capabilities, enhancing safety and operational efficiency in transportation
- Highlights innovative, data-driven solutions for sustainable energy, aiding in reducing carbon emissions and promoting environmentally friendly EV technologies
Produktinformation
- Utgivningsdatum: 2026-11-17
- Mått: 152 x 229 x undefined mm
- Vikt: 450 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 400
- Förlag: Elsevier Science
- ISBN: 9780443443268
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Mer om författaren
Dr V. Subramaniyaswamy is currently working as a Professor in the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. In total, he has 18 years of experience in academia. He has published papers in reputed international journals and conferences and filed multiple patents. His technical competencies lie in recommender systems, Artificial Intelligence, the Internet of Things, reinforcement learning, big data analytics, and cognitive analytics. He has edited Electric Motor Drives and their Applications, with Simulation Practice (Elsevier: 2022, ISBN: 9780323911627), among other books.Dr R. Bala Krishnan is currently working as Assistant Professor in the Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam. In total, he has more than 15 years of experience in academia and research. He received his MTech and PhD in Computer Science from SASTRA Deemed University in 2012 and 2021 respectively. His current research interests include quantum computing, machine learning, artificial intelligence, intrusion detection and prevention systems, information hiding, image processing and cryptography. He is a Lifetime Member in Indian Society of Technical Education (ID:85432) and International Association of Engineers (ID:327906). Dr. R. Elakkiya is an Assistant Professor in the Department of Computer Science, Birla Institute of Technology & Science, Pilani, Dubai Campus. She received her PhD from Anna University, Chennai, in 2018. She secured the University First Rank and was awarded the Gold Medal during master’s in software engineering from CEG Campus, Anna University, Chennai. She won the iDEX - DISC 4 challenge and received the grant award from DIO, DRDO in 2021 and Young Achiever Award from INSc in 2019. She had received many extra-mural funded projects from various government and non-government agencies and served as Machine Learning and Data Analytics Consultant and delivered many products to different industry verticals. She is Member of the Association of Computing Machinery and Lifetime Member of International Association of Engineers.Dr. N. Rajesh Kumar is working as Assistant Professor in the Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam. He received his master’s degree in computer applications from Alagappa University, Karaikudi in 2009 and a PhD degree in Computer Science from SASTRA Deemed University in 2021. His research interests include information hiding, image processing, and visual cryptography. He has published several research articles in journals and conferences of repute. He is Lifetime Member of various technical societies, such as ISTE and IAENG.
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