An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City Journal April, 2023
Assessing Compatibility of Natural Gas Pipeline Materials with Hydrogen, CO2, and Ammonia Journal February, 2023
A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles Journal February, 2023
A method for determining optimal electric range by considering electric vehicle lightweighting on perceived ownership cost Journal January, 2023
