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(Ebook) Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by Jihad Badra (editor), Pinaki Pal (editor), Yuanjiang Pei (editor), Sibendu Som (editor) ISBN 9780323884570, 0323884571

  • SKU: EBN-38470328
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4.6

5 reviews
Instant download (eBook) Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines after payment.
Authors:Jihad Badra (editor), Pinaki Pal (editor), Yuanjiang Pei (editor), Sibendu Som (editor)
Pages:260 pages.
Year:2022
Editon:1
Publisher:Elsevier
Language:english
File Size:14.25 MB
Format:pdf
ISBNS:9780323884570, 0323884571
Categories: Ebooks

Product desciption

(Ebook) Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by Jihad Badra (editor), Pinaki Pal (editor), Yuanjiang Pei (editor), Sibendu Som (editor) ISBN 9780323884570, 0323884571

Artificial Intelligence and Data Driven Optimization of Internal Combustion Enginessummarizes 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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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