Artificial Intelligence and Data Driven Optimization of Internal Combustion ...
Elsevier - Health Sciences Division
Unlock the future of automotive engineering with "Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines." This comprehensive guide delves into cutting-edge AI and data-driven techniques to enhance the performance, efficiency, and emissions of internal combustion engines. Explore advanced methodologies and real-world applications developed by leading experts in transport technologies. Ideal for engineers, researchers, and students seeking to innovate in the automotive sector. Key topics covered include: - AI applications in engine design and calibration - Data analytics for performance optimization - Predictive maintenance strategies - Reducing emissions through intelligent systems This paperback offers in-depth insights into the synergy between artificial intelligence and internal combustion engine technology, paving the way for more sustainable and efficient powertrains.
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