3 papers
cs.LG2024
Fine-gained air quality inference based on low-quality sensing data using self-supervised learning
Meng Xu, Ke Han, Weijian Hu +1
Fine-grained air quality (AQ) mapping is made possible by the proliferation of cheap AQ micro-stations (MSs). However, their measurements are often inaccurate and sensitive to loca…
cs.LG2023
Predicting the Transportation Activities of Construction Waste Hauling Trucks: An Input-Output Hidden Markov Approach
Hongtai Yang, Boyi Lei, Ke Han +1
Construction waste hauling trucks (CWHTs), as one of the most commonly seen heavy-duty vehicles in major cities around the globe, are usually subject to a series of regulations and…
cs.LG2023
Short-term prediction of construction waste transport activities using AI-Truck
Meng Xu, Ke Han
Construction waste hauling trucks (or `slag trucks') are among the most commonly seen heavy-duty diesel vehicles in urban streets, which not only produce significant carbon, NO$_{\…