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                <text>Faculty Publications</text>
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              <text>Swain, K.P.; Mohapatra, S.K.; Nayak, Soumya Ranjan; Poonia, Ramesh Chandra</text>
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              <text>The Role of Artificial Intelligence in Electric and Autonomous Vehicles</text>
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              <text>01-01-2026</text>
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              <text>Advances in Computers;Volume;143;pp.235-269</text>
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              <text>&lt;a href="https://doi.org/10.1016/bs.adcom.2026.01.007" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/bs.adcom.2026.01.007&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105029257797?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105029257797?origin=resultslist&lt;/a&gt;</text>
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              <text>Swain K.P., Department of ETC, Trident Academy of Technology, Odisha, Bhubaneswar, India; Mohapatra S.K., Department of CSE (AI &amp;amp; ML), Dayananda Sagar University School of Engineering, Karnataka, Bengaluru, India; Nayak S.R., School of Computer Engineering, KIIT Deemed to Be University, Odisha, Bhubaneswar, India; Poonia R.C., Department of CSE, CHRIST University, Delhi NCR, Ghaziabad, India</text>
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              <text>The?? use of Artificial Intelligence (AI) is changing the whole car landscape. Indeed, AI is the main driving force behind the most innovative electric and autonomous vehicles. The technology is making transportation environmentally friendly, intelligent, and cost-effective. The chapter demonstrates the role of AI in self-driving cars and electric vehicles through various examples, such as autonomous driving, battery performance, charging systems, predictive maintenance, safety, efficiency, and fleet management. AI is the reason that cars can now drive themselves, whereby it is the technology that enables navigation, object detection, and systems like Tesla Autopilot. Besides, it is heavily involved in battery management as it lowers the battery life through usage, overheating, and prolongs the battery life. The chapter also talks about AI technology that supports smart EV charging, allowing integration of renewable sources and even making charging more comfortable and hassle-free. Predictive maintenance is yet another significant area where the AI system is monitoring the health of the car, the earliest detection of the faults, and extending the lifespan of EV components. Implementation of AI in safety vehicles is a great advancement in this industry. In conjunction with this technology, AI-based safety systems, like driver assistance, hazard detection, and emergency response, provide safety to the cars. Moreover, the technology enhances energy efficiency, range prediction, and real-time vehicle performance. The chapter concludes with a discussion about the coming of reflection in the AI realm of environmental sustainability, intelligent fleet management, and challenges of the future. In summary, this article accentuates how AI is rewiring the future of electric and self-driving vehicles and why its role is key for researchers, industry professionals, and ??policymakers.  2026</text>
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              <text>ADAS; AI in transportation; Artificial intelligence; Autonomous driving; Battery management systems; Electric vehicles; Fleet management; Predictive maintenance; Smart charging; Sustainable mobility</text>
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              <text>Academic Press Inc.</text>
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              <text>ISSN: 652458; ISBN: 978-044331710-1;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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