| Forecasting atmospheric visibility using auto regressive recurrent neural network J Jonnalagadda, M Hashemi 2020 IEEE 21st International Conference on Information Reuse and Integration …, 2020 | 22 | 2020 |
| Feature selection and spatial-temporal forecast of oceanic Niño index using deep learning J Jonnalagadda, M Hashemi International Journal of Software Engineering and Knowledge Engineering 32 …, 2022 | 8 | 2022 |
| Spatial-Temporal Forecast of the probability distribution of Oceanic Nino Index for various lead times. J Jonnalagadda, M Hashemi SEKE, 309-314, 2021 | 4 | 2021 |
| Long Lead ENSO Forecast Using an Adaptive Graph Convolutional Recurrent Neural Network J Jonnalagadda, M Hashemi Engineering Proceedings 39 (1), 5, 2023 | 2 | 2023 |
| Opinion and Sentiment Analysis of Palliative Care in the Era of COVID-19 M Inoue, MH Li, M Hashemi, Y Yu, J Jonnalagadda, R Kulkarni, ... Healthcare 11 (6), 855, 2023 | 2 | 2023 |
| A deep learning-based traffic event detection from social media J Jonnalagadda, M Hashemi 2021 IEEE 22nd International Conference on Information Reuse and Integration …, 2021 | 2 | 2021 |
| Quality-Aware Conditional Generative Adversarial Networks for Precipitation Nowcasting J Jonnalagadda, M Hashemi Engineering Proceedings 39 (1), 11, 2023 | | 2023 |
| Optimizing the Spatial-Temporal Extent of Environmental Factors in Forecasting El Niño and La Niña Using Recurrent Neural Network J Jonnalagadda, M Hashemi Engineering Proceedings 39 (1), 10, 2023 | | 2023 |
