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Junaid Farooq
Junaid Farooq
Electrical Engineering Department, National Institute of Technology Srinagar
Verified email at nitsri.ac.in - Homepage
Title
Cited by
Cited by
Year
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
732020
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
572021
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
32022
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
22022
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
22021
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
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