Application of a new machine learning model to improve earthquake ground motion predictions A Joshi, B Raman, M C Krishna, C Linga Reddy Natural Hazards, 2023 | 99 | 2023 |
Early detection of earthquake magnitude based on stacked ensemble model A Joshi, C Vishnu, CK Mohan Journal of Asian Earth Sciences: X 8, 100122, 2022 | 69 | 2022 |
Application of XGBoost model for early prediction of earthquake magnitude from waveform data A Joshi, C Vishnu, CK Mohan, B Raman Journal of Earth System Science 133 (1), 5, 2023 | 51 | 2023 |
A new machine learning approach for estimating shear wave velocity profile using borelog data A Joshi, B Raman, CK Mohan, LR Cenkeramaddi Soil Dynamics and Earthquake Engineering 177, 108424, 2024 | 17 | 2024 |
An integrated approach for prediction of magnitude using deep learning techniques A Joshi, B Raman, CK Mohan Neural Computing and Applications, 1-16, 2024 | 13 | 2024 |
A deep attention model for onsite estimation of earthquake epicenter distance and magnitude A Joshi, P Singh, B Raman IEEE Transactions on Geoscience and Remote Sensing, 2024 | 4 | 2024 |
Simulated Annealing Algorithm for Subsurface Shear Wave Velocity Investigation Using Ground Vibration Data A Joshi, SK Peddoju, M Pandey Local Site Effects and Ground Failures: Select Proceedings of 7th ICRAGEE …, 2021 | 1 | 2021 |
DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration A Joshi, NR Vedium, B Raman Engineering Applications of Artificial Intelligence 144, 110077, 2025 | | 2025 |
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model A Joshi, P Singh, B Raman Computers & Geosciences 196, 105849, 2025 | | 2025 |
Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data A Joshi, B Raman, CK Mohan Geodesy and Geodynamics, 2025 | | 2025 |