{"product_id":"artificial-intelligence-and-data-driven-optimization-of-internal-combustion-engines-paperback-9780323884570","title":"Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (Paperback \/ softback) 9780323884570","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Intelligence and Data Driven Optimization of Internal Combustion Engines\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eFocuses on the recent developments in Artificial Intelligence\/Machine Learning and data driven optimization and calibration techniques for internal combustion engines\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJihad Badra (Edited by), Pinaki Pal (Edited by), Yuanjiang Pei (Edited by), Sibendu Som (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323884570, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 28 January 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e260 pages, 100 illustrations (50 in full color)\u003cbr\u003e22.9 x 15.2 x 1.7 cm, 0.43 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eArtificial Intelligence and Data Driven Optimization of Internal Combustion Engines \u003c\/i\u003esummarizes 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\u0026amp;D centers involved in engine design.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Active-learning for fuel optimization 2. High throughput screening for fuel formulation 3. Engine optimization using computational fluid dynamics-Genetic algorithms (CFD-GA) 4. Engine optimization using computational fluid dynamics-design of experiments (CFD-DoE) 5. Engine optimization using machine learning-genetic algorithms (ML-GA) 6. Machine learning driven sequential optimization using dynamic exploration and exploitation 7. Optimization of after-treatment systems using machine learning 8. Engine cycle-to-cycle variation control 9. Prediction of low pressure preignition using machine learning 10. AI aided optimization of experimental engine calibration 11. AI aided optimization of vehicle control calibration\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Automotive technology \u0026amp; trades [\u003ca title=\"See our other books on Automotive technology \u0026amp; trades\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Automotive%20technology%20\u0026amp;%20trades%20%5BTRC%5D%22\"\u003eTRC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46650862993688,"sku":"9780323884570","price":129.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323884570.jpg?v=1694992355","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/artificial-intelligence-and-data-driven-optimization-of-internal-combustion-engines-paperback-9780323884570","provider":"Freshly Printed Books","version":"1.0","type":"link"}