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Powertrain development with artifici...

Mirfendreski, Aras.

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Powertrain development with artificial intelligence = history, work processes, concepts, methods and application examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Powertrain development with artificial intelligence/ by Aras Mirfendreski.
Reminder of title:	history, work processes, concepts, methods and application examples /
Author:	Mirfendreski, Aras.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2022.,
Description:	xiii, 164 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence.
Contained By:	Springer Nature eBook
Subject:	Automobiles - Design and construction -
Online resource:	https://doi.org/10.1007/978-3-662-63863-7
ISBN:	9783662638637

Powertrain development with artificial intelligence = history, work processes, concepts, methods and application examples /
Mirfendreski, Aras.

Powertrain development with artificial intelligencehistory, work processes, concepts, methods and application examples /[electronic resource] :by Aras Mirfendreski. - Berlin, Heidelberg :Springer Berlin Heidelberg :2022. - xiii, 164 p. :ill., digital ;24 cm.

Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence.

The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI) But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: Dr. Aras Mirfendreski has developed into an engine-expert throughout the German and international scientific landscape (studied at RWTH Aachen University, doctorate at Audi AG) Through his experience as a powertrain developer at Stuttgart FKFS for various OEMs as well as his activities as a senior program manager at Toyota, his developments always thrive on the transfer of state-of-the-art methods into corporate structures. Today, he serves as Vice President Engine R&D at Aquarius Engines and is also an AI expert, keynote speaker and consultant on artificial intelligence topics.

Translated from German.

ISBN: 9783662638637

Standard No.: 10.1007/978-3-662-63863-7doiSubjects--Topical Terms:

1374702
Automobiles
--Design and construction

LC Class. No.: TL240 / .M5713 2022

Dewey Class. No.: 629.2028563

Powertrain development with artificial intelligence = history, work processes, concepts, methods and application examples /
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505 0 $a Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence.
520 $a The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI) But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: Dr. Aras Mirfendreski has developed into an engine-expert throughout the German and international scientific landscape (studied at RWTH Aachen University, doctorate at Audi AG) Through his experience as a powertrain developer at Stuttgart FKFS for various OEMs as well as his activities as a senior program manager at Toyota, his developments always thrive on the transfer of state-of-the-art methods into corporate structures. Today, he serves as Vice President Engine R&D at Aquarius Engines and is also an AI expert, keynote speaker and consultant on artificial intelligence topics.
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