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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines | Jihad Badra (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier | EAN 9780323884570 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Seller: moluna, Greven, Germany
Condition: New. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simu.
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 243 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Elsevier Science & Technology, Elsevier, 2022
ISBN 10: 0323884571 ISBN 13: 9780323884570
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Englisch.
Language: English
Published by Elsevier Science & Technology, Elsevier, 2022
ISBN 10: 0323884571 ISBN 13: 9780323884570
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design.