Artificial Intelligence and Data Driven Optimization of Internal Combustion ...

Name: Artificial Intelligence and Data Driven Optimization of Internal Combustion ...
Brand: Elsevier - Health Sciences Division

Elsevier - Health Sciences Division

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines\n\nFocuses on the recent developments in Artificial Intelligence/Machine Learning and data driven optimization and calibration techniques for internal combustion engines\n\nJihad Badra (Edited by), Pinaki Pal (Edited by), Yuanjiang Pei (Edited by), Sibendu Som (Edited by)\n\n9780323884570, Elsevier Science\n\nPaperback / softback, published 28 January 2022\n\n260 pages\n22.9 x 15.2 x 1.7 cm, 0.43 kg\n\nArtificial 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]