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Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (Paperback) Loot Price: R3,924
Discovery Miles 39 240
Repayment Terms: R368 pm x 12*
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Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (Paperback): Jihad Badra, Pinaki Pal,...

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (Paperback)

Jihad Badra, Pinaki Pal, Yuanjiang Pei, Sibendu Som

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Loot Price R3,924 Discovery Miles 39 240 | Repayment Terms: R368 pm x 12*

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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.

General

Imprint: Elsevier - Health Sciences Division
Country of origin: United States
Release date: 2022
First published: 2022
Editors: Jihad Badra • Pinaki Pal • Yuanjiang Pei • Sibendu Som
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 260
ISBN-13: 978-0-323-88457-0
Categories: Books > Professional & Technical > Transport technology > Automotive technology > General
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LSN: 0-323-88457-1
Barcode: 9780323884570

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