| Application of an artificial neural network for modeling the mechanical behavior of carbonate soils V Rashidian, M Hassanlourad International Journal of Geomechanics 14 (1), 142-150, 2014 | 41 | 2014 |
| Evaluation on bearing capacity of ring foundations on two-layered soil RZ Moayed, V Rashidian, E Izadi World Academy of Science, Engineering and Technology 61, 954-958, 2012 | 22 | 2012 |
| Laboratory testing and numerical modelling on bearing capacity of geotextile-reinforced granular soils V Rashidian, SA Naeini, M Mirzakhanlari International Journal of Geotechnical Engineering 12 (3), 241-251, 2018 | 19 | 2018 |
| Predicting the shear behavior of cemented and uncemented carbonate sands using a genetic algorithm-based artificial neural network V Rashidian, M Hassanlourad Geotechnical and Geological Engineering 31, 1231-1248, 2013 | 19 | 2013 |
| Modification of the liquefaction potential index to consider the topography in Christchurch, New Zealand V Rashidian, DT Gillins Engineering Geology 232, 68-81, 2018 | 16 | 2018 |
| Regional efficacy of a global geospatial liquefaction model V Rashidian, LG Baise Engineering geology 272, 105644, 2020 | 14 | 2020 |
| Evaluation of phreatic line in homogenous earth dams with different drainage systems RZ Moayed, VR Rashidian, E Izadi Civ. Eng. Dept. Imam Khomeini Int. Uni. Qazvin, Iran, 2012 | 9 | 2012 |
| Detecting collapsed buildings after a natural hazard on vhr optical satellite imagery using u-net convolutional neural networks V Rashidian, LG Baise, M Koch IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| Using high resolution optical imagery to detect earthquake-induced liquefaction: the 2011 Christchurch earthquake V Rashidian, LG Baise, M Koch Remote Sensing 12 (3), 377, 2020 | 4 | 2020 |
| A geospatial approach to liquefaction assessment for rapid response and loss estimation LG Baise, V Rashidian Geotechnical Earthquake Engineering and Soil Dynamics V: Seismic Hazard …, 2018 | 4 | 2018 |
| Detecting Demolished Buildings after a Natural Hazard Using High Resolution RGB Satellite Imagery and Modified U-Net Convolutional Neural Networks V Rashidian, LG Baise, M Koch, B Moaveni Remote Sensing 13 (11), 2176, 2021 | 2 | 2021 |
| Evaluation of phreatic Line in Homogeneous Earth Dams With Different Drainage System R Ziaie Moyaed, V Rashidian, E Izadi 32nd Annual USSD Conference on Innovative Dam And Levee Design and …, 2012 | 2 | 2012 |
| Improvements on Earthquake Rapid Response Framework Using Geospatial and Remotely Sensed Data V Rashidian Tufts University, 2021 | | 2021 |
| Detecting earthquake-induced liquefaction using VHR satellite and aerial imageries fused with geospatial data V Rashidian, LG Baise, M Koch AGU Fall Meeting Abstracts 2019, NH12A-07, 2019 | | 2019 |
| Compiling a training data set for rapid detection of earthquake-induced building collapse using satellite imagery V Rashidian, LG Baise, M Koch AGU Fall Meeting Abstracts 2018, NH32B-12, 2018 | | 2018 |
| Rapid Liquefaction Detection Using Remote Sensing Techniques: 2011 Christchurch Earthquake V Rashidian, LG Baise Geotechnical Earthquake Engineering and Soil Dynamics V: Liquefaction …, 2018 | | 2018 |
| Effect of anisotropic permeability on phreatic line recession in homogeneous earth dams under reservoir rapid draw down (RDD) V Rashidian 33rd Annual USSD Conference onChanging Times — The Challenges and Risks of …, 2013 | | 2013 |
| USGS Award G16AP00014 LG Baise, V Rashidian | | |
Mahmoud HassanlouradImam Khomeini International UniversityVerified email at eng.ikiu.ac.ir
