Osariemen Imafidon

Machine Learning Applications In Diesel Engine Emissions Control: A Systematic Review of Predictive Modeling, Adaptive Control, and Real-Time Optimization Strategies (2010–2024)

The reviewed literature reveals four generational phases of ML adoption in diesel emissions control, from simple regression-based offline calibration tools to sophisticated real-time physics-informed adaptive systems, which consistently outperform purely data-driven approaches on the out-of-distribution conditions most critical for regulatory compliance.