A novel adaptive deep learning model of Covid-19 with focus on mortality reduction strategies J Farooq, MA Bazaz Chaos, Solitons & Fractals 138, 110148, 2020 | 73 | 2020 |
A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India J Farooq, MA Bazaz Alexandria Engineering Journal 60 (1), 587-596, 2021 | 57 | 2021 |
Risk assessment of COVID-19 pandemic using deep learning model for J&K in India: a district level analysis MA Wani, J Farooq, DM Wani Environmental Science and Pollution Research 29 (12), 18271-18281, 2022 | 3 | 2022 |
Synergistic use of intrusive and non-intrusive model order reduction techniques for dynamical power grids D Rafiq, J Farooq, MA Bazaz International Journal of Electrical Power & Energy Systems 138, 2022 | 2 | 2022 |
Deep Learning for Self-tuning of Control systems [Received Best Paper Award] J Farooq, MA Bazaz 2021 International Conference on Emerging Techniques in Computational …, 2021 | 2 | 2021 |
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing J Farooq, D Rafiq, PR Vlachas, MA Bazaz arXiv:2401.13282, 2024 | | 2024 |
Breaking Barriers in Forecasting: A Hybrid Deep Learning Approach to Spatiotemporal Dynamics J Farooq National Institute of Technology Srinagar, 2024 | | 2024 |
Multiscale Autoencoder-RNN Architecture for Mitigating Error Accumulation in Long-Term Forecasting J Farooq, MA Bazaz, D Rafiq 2023 International Conference on Emerging Techniques in Computational …, 2023 | | 2023 |
Hybrid Deep Neural Network for Data-driven Missile Guidance with Maneuvering Target J Farooq, MA Bazaz Defence Science Journal, 2023 | | 2023 |