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cs.LG2023
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi +2
Cost-effective sensors are capable of real-time capturing a variety of air quality-related modalities from different pollutant concentrations to indoor/outdoor humidity and tempera…
cs.LG2023
Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Sobhan Moosavi, Rajiv Ramnath
Driving risk prediction has been a topic of much research over the past few decades to minimize driving risk and increase safety. The use of demographic information in risk predict…