| Multi-attribute selection for salt dome detection based on SVM and MLP machine learning techniques N Tavakolizadeh, M Bagheri Natural Resources Research 31 (1), 353-370, 2022 | 21 | 2022 |
| IPIML: A deep-scan earthquake detection and location workflow integrating pair-input deep learning model and migration location method H Mohammadigheymasi, P Shi, N Tavakolizadeh, Z Xiao, SM Mousavi, ... IEEE transactions on geoscience and remote sensing 61, 1-9, 2023 | 13 | 2023 |
| Application of deep learning for seismicity analysis in Ghana H Mohammadigheymasi, N Tavakolizadeh, L Matias, SM Mousavi, ... Geosystems and Geoenvironment 2 (2), 100152, 2023 | 9 | 2023 |
| Seismicity analysis of Southern Ghana II: Updated crustal velocity model and hypocentral parameters S Custódio, H Mohammadigheymasi, N Tavakolizadeh, L Matias, ... EGU General Assembly Conference Abstracts, EGU22-5570, 2022 | 6 | 2022 |
| A data set of earthquake bulletin and seismic waveforms for Ghana obtained by deep learning H Mohammadigheymasi, N Tavakolizadeh, L Matias, SM Mousavi, ... Data in brief, 108969, 2023 | 5* | 2023 |
| A data set of earthquake bulletin and seismic waveforms for Ghana obtained by deep learning H Mohammadigheymasi, N Tavakolizadeh, L Matias, SM Mousavi, ... Data in brief 47, 108969, 2023 | 4 | 2023 |
| Seismicity analysis in southern Ghana-I: detecting local earthquakes by deep learning H Mohammadigheymasi, N Tavakolizadeh, SM Mousavi, G Silveira, ... EGU General Assembly Conference Abstracts, EGU22-5860, 2022 | 3 | 2022 |
| Earthquake detection and location in the Cameroon temporary network data using deep learning L Carvalho, H Mohammadigheymasi, P Crocker, N Tavakolizadeh, ... EGU General Assembly Conference Abstracts, EGU-16438, 2023 | 2 | 2023 |
| To what extent do slip rates contribute to the seismic activity of faults? N Tavakolizadeh, H Mohammadigheymasi, L Matias, G Silveira, ... EGU General Assembly Conference Abstracts, EGU22-12893, 2022 | 2 | 2022 |
| FaultQuake: An open-source Python tool for estimating Seismic Activity Rates in faults N Tavakolizadeh, H Mohammadigheymasi, F Visini, N Pombo Computers & Geosciences 191, 105659, 2024 | 1 | 2024 |
| An automated earthquake detection algorithm by combining pair-input deep learning and migration location methods H Mohammadigheymasi, N Tavakolizadeh, P Shi, Z Xiao, SM Mousavi, ... EGU General Assembly Conference Abstracts, EGU-15180, 2023 | 1 | 2023 |
| A combined fault-and catalog-based hazard assessment for Central Zagros, Iran N Dolatabadi, N Tavakolizadeh, H Mohammadigheymasi, A Valentini EGU General Assembly Conference Abstracts, EGU21-14411, 2021 | 1 | 2021 |
| Application of the pair-input deep learning model for seismicity reassessment in Cameroon L Carvalho, H Mohammadigheymasi, P Crocker, N Tavakolizadeh, ... Acta Geophysica, 1-15, 2024 | | 2024 |
| A synthetic ambient-noise data set fortime-lapsed monitoring S Nunes, H Mohammadigheymasi, N Tavakolizadeh, N Garcia EGU General Assembly Conference Abstracts, EGU-1678, 2023 | | 2023 |
| Seismicity dataset of Ghana obtained by Deep Learning H Mohammadigheymasi, N Tavakolizadeh, L Matias, ... | | 2022 |
| Fqsha: An Open-Source Software for Fault-Based Seismic Hazard Assessment N Tavakolizadeh, H Mohammadigheymasi, N Pombo Available at SSRN 5055199, 0 | | |
Hamzeh MohammadigheymasiAtmosphere and ocean research institute the university of tokyog.ecc.u-tokyo.ac.jp의 이메일 확인됨