Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments T Zheng, MH Bergin, KK Johnson, SN Tripathi, S Shirodkar, MS Landis, ... Atmospheric Measurement Techniques 11 (8), 4823-4846, 2018 | 363 | 2018 |
Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach T Zheng, MH Bergin, S Hu, J Miller, DE Carlson Atmospheric Environment 230, 117451, 2020 | 65 | 2020 |
Real‐time measurements of PM2.5 and ozone to assess the effectiveness of residential indoor air filtration in Shanghai homes KK Barkjohn, C Norris, X Cui, L Fang, T Zheng, JJ Schauer, Z Li, Y Zhang, ... Indoor Air 31 (1), 74-87, 2021 | 54 | 2021 |
Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi T Zheng, MH Bergin, R Sutaria, SN Tripathi, R Caldow, DE Carlson Atmospheric Measurement Techniques 12 (9), 5161-5181, 2019 | 48 | 2019 |
Improving spatial variation of ground-level PM2. 5 prediction with contrastive learning from satellite imagery Z Jiang, T Zheng, M Bergin, D Carlson Science of Remote Sensing 5, 100052, 2022 | 18 | 2022 |
Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest–Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and … T Zheng, M Bergin, G Wang, D Carlson Remote Sensing 13 (7), 1356, 2021 | 17 | 2021 |
Incorporating prior knowledge into neural networks through an implicit composite kernel Z Jiang, T Zheng, Y Liu, D Carlson Transactions on Machine Learning Research, 2024 | 10 | 2024 |
A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate … V Jain, A Mukherjee, S Banerjee, S Madhwal, MH Bergin, P Bhave, ... Atmospheric Environment 338, 120798, 2024 | 1 | 2024 |
Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential I Hough, L Argentier, Z Jiang, T Zheng, M Bergin, D Carlson, JL Jaffrezo, ... arXiv preprint arXiv:2407.13778, 2024 | | 2024 |