Numerical and experimental assessment of hydrogen enrichment effects on ci engine characteristics fuelled with dual biodiesel blends: A comprehensive study. [PDF]
Vishnu Vardhana Naidu B +6 more
europepmc +1 more source
NIR Spectroscopy for Non-Destructive Prediction of Greenhouse Gas Emissions and Global Warming Potential by Biomass Combustion. [PDF]
Sirisomboon P +5 more
europepmc +1 more source
Hybrid XGBoost-RF-MLP model and PSO optimization for performance and emissions of CI engine using waste cooking biodiesel blends. [PDF]
Gad MS, Soliman MS, Helal EB.
europepmc +1 more source
AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics. [PDF]
Aravind S +5 more
europepmc +1 more source
DLLT: A dual-layer LSTM-transformer model for real-time energy and dynamics prediction in plug-in hybrid electric vehicles. [PDF]
Zhang X, Chen Z, Fang X.
europepmc +1 more source
Experimental and ANN-based analysis of performance, combustion, and emission characteristics of a CI engine fueled with waste plastic oil-diethyl ether-diesel blends. [PDF]
Yeneneh K, Sufe G.
europepmc +1 more source
Machine learning predictions for enhancing engine performance and emission using aluminum oxide nano additives in castor biodiesel. [PDF]
Nachippan M +6 more
europepmc +1 more source
Real-time emission prediction for ship engine using stacked time-series learning: a transformer-XGBoost hybrid framework. [PDF]
Lim S, Oh J.
europepmc +1 more source
Research on the performance degradation and failure mechanism of exhaust Systems for explosion proof diesel engines in different mining applications. [PDF]
Shi Z, Feng H, Chen C, Nie Y.
europepmc +1 more source
Physics-encoded machine learning for performance and emission prediction of nickel ferrite nanocatalyst and hydrogen-enriched biodiesel in diesel engines. [PDF]
Van Minh N +7 more
europepmc +1 more source

