Vahid Rashidian
Vahid Rashidian
Research Engineer at Verisk Analytics
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Cited by
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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
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
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
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
Modification of the liquefaction potential index to consider the topography in Christchurch, New Zealand
V Rashidian, DT Gillins
Engineering Geology 232, 68-81, 2018
Regional efficacy of a global geospatial liquefaction model
V Rashidian, LG Baise
Engineering geology 272, 105644, 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
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
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
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
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
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
Improvements on Earthquake Rapid Response Framework Using Geospatial and Remotely Sensed Data
V Rashidian
Tufts University, 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
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
Rapid Liquefaction Detection Using Remote Sensing Techniques: 2011 Christchurch Earthquake
V Rashidian, LG Baise
Geotechnical Earthquake Engineering and Soil Dynamics V: Liquefaction …, 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
USGS Award G16AP00014
LG Baise, V Rashidian
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