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

https://doi.org/10.65770/LULX4034 ABSTRACT Background: The global imperative to simultaneously reduce the environmental burden of heavy-duty diesel engines and preserve their fundamental economic utility—powering freight, construction, agriculture, and power generation—has driven an accelerating research investment in machine learning (ML) applications for emissions control. ML techniques offer a…