Geoid determination based on log sigmoid function of artificial neural networks:(a case study: Iran) O Memarian Sorkhabi Journal of Artificial Intelligence in Electrical Engineering 3 (12), 18-24, 2015 | 33 | 2015 |
Monitoring of Caspian Sea-level changes using deep learning-based 3D reconstruction of GRACE signal OM Sorkhabi, J Asgari, A Amiri-Simkooei Measurement 174, 109004, 2021 | 27 | 2021 |
Wavelet decomposition and deep learning of altimetry waveform retracking for Lake Urmia water level survey OM Sorkhabi, J Asgari, A Amiri-Simkooei Marine Georesources & Geotechnology 40 (3), 361-369, 2022 | 26 | 2022 |
Evaluation of Isfahan City subsidence rate using InSAR and artificial intelligence OM Sorkhabi, AS Nejad, M Khajehzadeh KSCE Journal of Civil Engineering 26 (6), 2901-2908, 2022 | 23 | 2022 |
Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition OM Sorkhabi, J Asgari, A Amiri Simkooei Remote Sensing Letters 12 (5), 499-509, 2021 | 23 | 2021 |
Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence OM Sorkhabi, B Shadmanfar, E Kiani Results in Engineering 16, 100542, 2022 | 15 | 2022 |
Deep learning of total electron content OM Sorkhabi SN Applied Sciences 3 (7), 685, 2021 | 14 | 2021 |
Deep learning of GPS geodetic velocity OM Sorkhabi, SMS Alizadeh, FT Shahdost, HM Heravi Journal of Asian Earth Sciences: X 7, 100095, 2022 | 12 | 2022 |
Coseismic displacement of Ahar–Varzegan earthquakes based on GPS observations and deep learning OM Sorkhabi, SMS Alizadeh Arabian Journal of Geosciences 14 (18), 1859, 2021 | 12 | 2021 |
Estimation of geodetic virtual velocity based on back propagation artificial neural networks (case study: NW Iran) OM Sorkhabi, Y Djamour Scientific Quarterly Journal of Geosciences 24 (95), 69-76, 2015 | 12 | 2015 |
Wavelet Transform Analysis of Ionospheric Electron Content Changes before Large Earthquakes O Sorkhabi, Y DJAMOUR Journal of Geomatics Science and Technology 4 (4), 223-231, 2015 | 11 | 2015 |
Terrain Effect on Geoid Determination Case Study: NW Iran OM Sorkhabi, A Naderi, R Emadi Journal of Geomatics Science and Technology 4 (2), 139-148, 2014 | 11 | 2014 |
Land subsidence and groundwater storage investigation with multi sensor and extended Kalman filter OM Sorkhabi, I Kurdpour, RE Sarteshnizi Groundwater for Sustainable Development, 100859, 2022 | 10 | 2022 |
Deep learning of dynamic sea-level variability to investigate the relationship with the floods in Gothenburg. 2021 OM Sorkhabi DOI, 0 | 7 | |
Monitoring Groundwater Storage Based on Satellite Gravimetry and Deep Learning OM Sorkhabi, J Asgari, TO Randhir Natural Resources Research 32 (3), 1007-1020, 2023 | 5 | 2023 |
Deep learning of sea-level variability and flood for coastal city resilience OM Sorkhabi, B Shadmanfar, MM Al-Amidi City and Environment Interactions, 100098, 2022 | 4 | 2022 |
Investigating the efficiency of deep learning methods in estimating GPS geodetic velocity OM Sorkhabi, M Milani, SM Seyed Alizadeh Earth and Space Science, e2021EA002202, 2022 | 4 | 2022 |
Deep learning of ionosphere single-layer model and tomography OM Sorkhabi, M Milani Geomagnetism and Aeronomy 62 (4), 474-481, 2022 | 4 | 2022 |
Landslides monitoring with SBAS-InSAR and GNSS OM Sorkhabi, M Khajehzadeh, S Keawsawasvong Physics and Chemistry of the Earth, Parts A/B/C 132, 103486, 2023 | 3 | 2023 |
Estimation of geodetic velocity field based on sigmoid functions of artificial neural networks Y Djamour, OM Sorkhabi Geospatial Engineering Journal 5 (4), 49-55, 2014 | 3 | 2014 |