Mariasiu florin (70 risultati)

Condizione: New.

Condizione: New.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9783319186382.

Condizione: New.

Paperback. Condizione: New. 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.…

Paperback. Condizione: New. 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.…

Condizione: New.

Condizione: NEW.

Paperback. Condizione: Brand New. 200 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Condizione: Neu. 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.…

Taschenbuch. Condizione: Neu. Attitudes towards sustainable road transports | Consumers' surveys | Florin E. Mariasiu (u. a.) | Taschenbuch | 92 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659483400 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condizione: New. 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. H.

Paperback. Condizione: New. 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.…

Taschenbuch. Condizione: Neu. Introduction to Artificial Intelligence in Automotive Engineering | Understanding Theory and Practical Applications | Florin Emil Mariasiu (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041237228 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Paperback. Condizione: New. 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.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New. In English.

Condizione: New.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a systematic assessment of the performance of electric and hybrid buses in urban areas on a daily basis and presents a complete set of technical scenarios to promote their efficient exploitation. It will also help readers understand how future buses will perform on specific roads and how the latest technologies can be integrated into existing fleets by proposing a methodology for evaluating the energy consumption for general and specific routes and scenarios.Covering all aspects relating to the daily use of electric and hybrid buses, including maintenance strategies, power train configuration, battery replacements, route evaluation, and charging speed, emphasis is placed on energy efficiency and effective implementation. Addressing key developments in intelligent vehicle technologies, the book presents innovative transportation technologies and a broad range of topics in transportation-related sustainability research, from vehicle systems and design, to mass transit systems.…

Hardback. Condizione: New. 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.…

Condizione: New. 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. H.

Condizione: New. pp. 314.

Condizione: New.

Condizione: New.