Introduction to Artificial Intelligence in Automotive Engineering : Understanding Theory and Practical Applications
Language: English
Published by Taylor & Francis Ltd Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 67.96
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Add to basketItem description from seller
Neuware - This book serves as a timely and practical guide to understanding how artificial intelligence (AI) can be harnessed in automotive engineering. It not only demystifies complex AI methods but also equips readers with the tools to creatively apply them to their own engineering challenges. Drawing from the authors' extensive teaching experience, this book adopts a hands-on approach to applying AI tools - such as regression, classification, clustering, and deep learning (DL) - to real-world engineering challenges. Through clear explanations and step-by-step algorithmic structures, readers are introduced to the foundational AI concepts and guided through practical applications using real automotive data. Examples include predicting electric vehicle energy consumption under varying conditions, assessing battery degradation, analyzing brake system wear, and implementing intelligent control for thermal management (HVAC systems). This book demonstrates how AI can optimize performance, enhance safety and drive innovation. Each chapter builds essential skills, including setting up machine learning (ML) environments, implementing regression and classification models, constructing decision trees, applying clustering techniques, and designing neural networks (NNs). This guide is essential for postgraduate students interested in exploring how AI can be applied in engineering. …
Seller Inventory # 9781041237228
- Title
- Introduction to Artificial Intelligence in Automotive Engineering : Understanding Theory and Practical Applications
- Author
- Florin Emil Mariasiu
- Publisher
- Taylor & Francis Ltd Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1041237227
- ISBN 13
- 9781041237228
- Item weight
- 480 grams
- Dimensions
- 231x154x19 mm
This book serves as a timely and practical guide to understanding how artificial intelligence (AI) can be harnessed in automotive engineering. It not only demystifies complex AI methods but also equips readers with the tools to creatively apply them to their own engineering challenges. Drawing from the authors' extensive teaching experience, this book adopts a hands-on approach to applying AI tools – such as regression, classification, clustering, and deep learning (DL) – to real-world engineering challenges. Through clear explanations and step-by-step algorithmic structures, readers are introduced to the foundational AI concepts and guided through practical applications using real automotive data. Examples include predicting electric vehicle energy consumption under varying conditions, assessing battery degradation, analyzing brake system wear, and implementing intelligent control for thermal management (HVAC systems). This book demonstrates how AI can optimize performance, enhance safety and drive innovation. Each chapter builds essential skills, including setting up machine learning (ML) environments, implementing regression and classification models, constructing decision trees, applying clustering techniques, and designing neural networks (NNs). This guide is essential for postgraduate students interested in exploring how AI can be applied in engineering.
"Synopsis" may belong to another edition of this title.
About the Author
Thomas Imre Cyrille Buidin is assistant professor in the Department of Automotive Engineering and Transports at the Technical University of Cluj-Napoca (UTCN), and a member of the Electric Mobility Applied Research Center (EMARC) research group. He earned his PhD in Mechanical Engineering from UTCN (2024) with a summa cum laude distinction. His thesis analyzed the efficiency of battery thermal management systems, and he was the first within the UTCN to incorporate AI methods into a doctoral thesis from the Mechanical Engineering domain. His domains of research and interest are hybrid and electric vehicles and lithium-ion batteries, with a focus on the energy efficiency optimization of innovative thermal management solutions and systems. The results of his research activity can be summarized as one patent, seven published scientific articles, 200 citations and ten prizes and awards for research and innovation in the fields of Mechanical and Automotive Engineering.
Florin Emil Mariasiu is a full professor at the Technical University of Cluj-Napoca (UTCN), specializing in Automotive and Transport Engineering. He earned his PhD in Mechanical Engineering from the UTCN (2003), as well as his Habilitation diploma in Mechanical Engineering (2015) from the UTCN. His areas of research interest are sustainable energy solutions for mechanical and thermal systems, along with recent concerns related to the application of AI tools in engineering and hybrid education in the automotive field. His research activity can be summarized as four patents, 15 books/chapters, over 100 published scientific articles, over 1,500 citations and more than 20 national and international awards and distinctions for research and innovation in the fields of Mechanical and Automotive Engineering.
"About the title" may belong to another edition of this title.
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