Evaluation of low-cost gas sensors to quantify intra-urban variability of atmospheric pollutants A Baruah, O Zivan, A Bigi, G Ghermandi Environmental Science: Atmospheres 3 (5), 830-841, 2023 | 9 | 2023 |
Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment D Bousiotis, S Damayanti, A Baruah, A Bigi, DCS Beddows, RM Harrison, ... Environment international 193, 109069, 2024 | 2 | 2024 |
Monitoring and changing pattern of shifting cultivation and reclamation in hilly regions using Geospatial Technology S Alajangi, NSR Prasad, A Baruah Modern Cartography Series 10, 465-495, 2021 | 1 | 2021 |
A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques A Baruah, D Bousiotis, S Damayanti, A Bigi, G Ghermandi, ... npj Climate and Atmospheric Science 7 (1), 310, 2024 | | 2024 |
A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques F Pope, A Baruah, D Bousiotis, S Damayanti, A Bigi, G Ghermandi, ... | | 2024 |
Enhancing Urban PM2. 5 Predictions: An Innovative Machine Learning Approach to Address Data Gaps A Baruah, D Bousiotis, S Damayanti, A Bigi, G Ghermandi, RM Harrison, ... EGU24, 2024 | | 2024 |
A Hybrid Approach for the Estimation of PM2. 5 Concentrations in an Urban neighbourhood using Low-cost sensors and Machine learning Algorithm. A Baruah, D Bousiotis, S Damayanti, A Bigi, G Ghermandi, RM Harrison, ... AGU Fall Meeting Abstracts 2023 (2014), A51I-2014, 2023 | | 2023 |