| Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM P Muthukumar, S Pathak, K Nagrecha, H Hosseini, D Comer, N Amini, ... 2022 International Conference on Computational Science and Computational …, 2022 | 3 | 2022 |
| Using Deep Learning for Spatial and Temporal Analysis of Wildfire Start and Progression P Muthukumar, J Kalra, S Pathak, D Comer, N Amini, J Holm, ... 2023 International Conference on Computational Science and Computational …, 2023 | | 2023 |
| Predicting Atmospheric Air Pollution: A Convolutional-Transformer Approach for Spatial and Temporal Analysis of PM2. 5 J Kalra, P Muthukumar, S Pathak, K Nagrecha, H Hosseini, D Comer, ... 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | | 2023 |
| Wildfire Risk Forecasting through Deep Learning using Meteorological, Environmental, and Remote-Sensing Data P Muthukumar, S Somayajula, R Dunning, K Nagrecha, H Hosseini, ... Fall Meeting 2022, 2022 | | 2022 |
| Global High-Resolution PM2. 5 Prediction Applying Multisource Big Data through Deep Convolutional LSTM P Muthukumar, S Pathak, K Nagrecha, H Hosseini, R Dunning, ... AGU Fall Meeting Abstracts 2022, IN41B-03, 2022 | | 2022 |
| Digital Twin Cities for Air Quality Simulation H Hosseini, K Nagrecha, P Muthukumar, S Pathak, R Dunning, ... AGU Fall Meeting Abstracts 2022, IN41B-02, 2022 | | 2022 |
| The United States Legal System: The Jurisprudence of Partisanship With Supreme Court Rulings S Pathak, P Muthukumar Juris Poiesis-Qualis B1 22 (30), 248-263, 2019 | | 2019 |
Pratyush MuthukumarStanford University在 stanford.edu 的电子邮件经过验证