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Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
Elsevier - Health Sciences Division
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Elsevier - Health Sciences Division
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
- | Author: Jihad Badra (Team Leader, Transport Technologies Research and Development Division, Saudi Aramco, Saudi Arabia), Pinaki Pal (Research Scientist, Argonne National Laboratory, IL, USA), Yuanjiang Pei (Technical Specialist, Aramco Americas: Aramco Research Center - Detroit, Michigan, USA), Sibendu Som (Manager, Computational Multi-Physics Research Section, Energy Systems Division, Argonne National Laboratory, Lemont, USA) (Edited by)
- | Publisher: Elsevier - Health Sciences Division
- | Publication Date: Jan 28, 2022
- | Country of Publication: United States
- | Number of Pages: 260 pages
- | Language: NA
- | Binding: Paperback / softback
- | ISBN-10: 0323884571
- | ISBN-13: 9780323884570
- By (Author):
- Jihad Badra (Team Leader, Transport Technologies Research and Development Division, Saudi Aramco, Saudi Arabia), Pinaki Pal (Research Scientist, Argonne National Laboratory, IL, USA), Yuanjiang Pei (Technical Specialist, Aramco Americas: Aramco Resea
- Publisher:
- Elsevier - Health Sciences Division
- Publication Date:
- Jan 28, 2022
- Country of Publication:
- United States
- Language:
- NA
- Number of pages:
- 260 pages
- Binding:
- Paperback / softback
- ISBN-10:
- 0323884571
- ISBN-13:
- 9780323884570