| Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data P Muthukumar, E Cocom, K Nagrecha, D Comer, I Burga, J Taub, ... Air Quality, Atmosphere & Health, 1-14, 2021 | 34 | 2021 |
| PM2. 5 air pollution prediction through deep learning using multisource meteorological, wildfire, and heat data P Muthukumar, K Nagrecha, D Comer, CF Calvert, N Amini, J Holm, ... Atmosphere 13 (5), 822, 2022 | 19 | 2022 |
| Sensor-Based Air Pollution Prediction Using Deep CNN-LSTM K Nagrecha, P Muthukumar, E Cocom, J Holm, D Comer, A Lyons, I Burga, ... 7th Annual Conference on Computational Science & Computational Intelligence …, 2020 | 16 | 2020 |
| A Stochastic Time Series Model for Predicting Financial Trends using NLP P Muthukumar, J Zhong arXiv preprint arXiv:2102.01290, 2021 | 14 | 2021 |
| Real-Time Spatiotemporal Air Pollution Prediction with Deep Convolutional LSTM through Satellite Image Analysis P Muthukumar, E Cocom, J Holm, D Comer, A Lyons, I Burga, ... 16th International Conference on Data Science (ICDATA '20), 2020 | 11 | 2020 |
| Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM P Muthukumar, E Cocom, K Nagrecha, J Holm, D Comer, A Lyons, I Burga, ... 7th Annual Conference on Computational Science & Computational Intelligence …, 2020 | 10 | 2020 |
| Predicting PM2. 5 air pollution using deep learning with multisource satellite and ground-based observations and meteorological and wildfire big data P Muthukumar, K Nagrecha, E Cocom, D Comer, I Burga, J Taub, ... AGU Fall Meeting Abstracts 2021, GC45B-0842, 2021 | 5 | 2021 |
| Particulate Matter Forecasting in Los Angeles County with Sparse Ground-based Sensor Data Analytics E Cocom, P Muthukumar, J Holm, D Comer, A Lyons, I Burga, ... AGU Fall Meeting Abstracts 2020, A061-0004, 2020 | 4 | 2020 |
| Generative adversarial imitation learning for empathy-based AI P Muthukumar, K Muthukumar, D Muthirayan, P Khargonekar arXiv preprint arXiv:2105.13328, 2021 | 3 | 2021 |
| 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 | 1 | 2022 |
| 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 |
| Semi Supervised Meta Learning for Spatiotemporal Learning F Waseem, P Muthukumar arXiv preprint arXiv:2308.01916, 2023 | | 2023 |
| From an Analytic Collaborative Framework to an Earth System Digital Twin for Air Quality Analysis T Huang, AE Dunn, S Hasheminassab, OV Kalashnikova, J Kang, ... AGU Fall Meeting Abstracts 2022, IN46A-03, 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 |
