| Ground motion model for Peninsular India using an artificial neural network Y Meenakshi, S Vemula, A Alne, STG Raghukanth Earthquake Spectra, 87552930221144330, 2023 | 12 | 2023 |
| Ground motion intensity measures for New Zealand S Vemula, M Yellapragada, B Podili, STG Raghukanth, A Ponnalagu Soil Dynamics and Earthquake Engineering 150, 106928, 2021 | 9 | 2021 |
| Neural network-based subduction ground motion model and its application to New Zealand and the Andaman and Nicobar Islands S Vemula, S Kp, STG Raghukanth Journal of Earthquake Engineering 27 (10), 2863-2886, 2023 | 8 | 2023 |
| A hybrid non‐parametric ground motion model for shallow crustal earthquakes in Europe V Sreenath, B Podili, STG Raghukanth Earthquake Engineering & Structural Dynamics 52 (8), 2303-2322, 2023 | 7 | 2023 |
| Stochastic ground motion models to NGA‐West2 and NGA‐Sub databases using Bayesian neural network V Sreenath, STG Raghukanth Earthquake Engineering & Structural Dynamics 52 (1), 248-267, 2023 | 7 | 2023 |
| Generation of a response spectrum from a fourier spectrum using a recurrent neural network: application to New Zealand S Vemula, STG Raghukanth Pure and Applied Geophysics 179 (8), 2797-2816, 2022 | 5 | 2022 |
| Fourier amplitude spectrum prediction and generation of synthetic ground motion to New Zealand S Vemula, STG Raghukanth, A Ponnalagu Acta Geophysica 70 (1), 39-70, 2022 | 4 | 2022 |
| Ground motion models for regions with limited data: Data‐driven approach V Sreenath, J Basu, STG Raghukanth Earthquake Engineering & Structural Dynamics 53 (3), 1363-1375, 2024 | 1 | 2024 |
| Generation of broadband spectra from physics-based simulations using stochastic LSTM network V Sreenath, KP Sreejaya, STG Raghukanth Engineering Applications of Artificial Intelligence 126, 106801, 2023 | 1 | 2023 |
| Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques Y Meenakshi, V Sreenath, R STG Earthquake Engineering & Structural Dynamics, 1-28, 2023 | | 2023 |
| Ground Motion Model For Data Sparse Regions: Machine Learning Approach V Sreenath, J Basu, STG Raghukanth EGU23, 2023 | | 2023 |
| Ground motion models using ensemble learning: application to RESORCE database V Sreenath, STG Raghukanth Fall Meeting 2022, 2022 | | 2022 |
| Simulation of earthquake slip field using convolution neural network STG Raghukanth, V Sreenath, KP Sreejaya Fall Meeting 2022, 2022 | | 2022 |
Sreejaya K PPostdoctoral fellow, Institut de Physique du Globe de Paris在 ipgp.fr 的电子邮件经过验证
