3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Physics-based machine learning framework for predicting NOx emissions from compression ignition engines using on-board diagnostics data
Harish Panneer Selvam, Bharat Jayaprakash, Yan Li +2
This work presents a physics-based machine learning framework to predict and analyze oxides of nitrogen (NOx) emissions from compression-ignition engine-powered vehicles using on-b…
cs.NE2023★ 3 cited
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
Hyeonjung, Jung, Jayant Gupta +6
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on…
cs.AI2021★ 1 cited
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results
Harish Panneer Selvam, Yan Li, Pengyue Wang +2
Given an on-board diagnostics (OBD) dataset and a physics-based emissions prediction model, this paper aims to develop an accurate and computational-efficient AI (Artificial Intell…