| Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction R Tabbussum, AQ Dar Environmental Science and Pollution Research 28 (20), 25265-25282, 2021 | 87 | 2021 |
| Comparative analysis of neural network training algorithms for the flood forecast modelling of an alluvial Himalayan river R Tabbussum, AQ Dar Journal of Flood Risk Management 13 (4), e12656, 2020 | 41 | 2020 |
| Comparison of fuzzy inference algorithms for stream flow prediction R Tabbussum, AQ Dar Neural Computing and Applications, 2020 | 14 | 2020 |
| Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting R Tabbussum, AQ Dar Natural Hazards 108 (1), 519-566, 2021 | 5 | 2021 |
| Analysis of Bayesian Regularization and Levenberg Marquardt training algorithms of the Feed-Forward Neural Network model for the flow prediction in an alluvial Himalayan river R Tabbussum, AQ Dar Algorithms for Intelligent Systems, 2019 | 3 | 2019 |
| Understanding the association between global teleconnections and concurrent drought and heatwaves events over India RD Bhowmik, R Tabbussum, P Mujumdar EGU General Assembly 2024, Vienna, Austria, 2024 | | 2024 |
| Neural Network Driven Early Warning System for Groundwater Flooding: A Comprehensive Approach in Lowland Karst Areas R Tabbussum, B Basu, L Gill EGU General Assembly 2024, Vienna, Austria, 2024 | | 2024 |
| Soil Erosion Estimation Using RUSLE Model and GIS-A Case Study of Himalayan Sub-watershed T Rasool, R Tabbussum, T Shaikh AGU Fall Meeting Abstracts 2021, H15N-1214, 2021 | | 2021 |
| A stochastic analysis of transportation system in J&K U Illahi, RT Burhan-ul-wafa International Journal of Technical Innovation in Modern Engineering …, 2018 | | 2018 |
| An Over look on Watershed Management with a case study of Ganderbal Watershed, Kashmir, India AQD Ruhhee Tabbussum International Journal of Advance Research in Science and Engineering 7 (04 …, 2018 | | 2018 |
| Modelling Flood Prognosis Using Machine Learning Techniques R Tabbussum Srinagar, 0 | | |
Abdul Qayoom DarProfessorVerified email at nitsri.net
