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The Science of the Total Environment|July 11, 2022
Spatial based drought assessment: Where are we heading? A review on the current status and futureAbhirup Dikshit, Biswajeet Pradhan, Alfredo Huete, et al.The Science of the Total Environment|July 14, 2022
A new application of deep neural network (LSTM) and RUSLE models in soil erosion predictionSumudu Senanayake, Biswajeet Pradhan, Abdullah Alamri, et al.Scientific Reports|June 14, 2026
Principled XAI analysis of the deep learning-based landslide susceptibility prediction modelJongchan Oh, Jung-Hyun Lee, Hyuck-Jin Park, et al.The Science of the Total Environment|May 13, 2022
Solving transparency in drought forecasting using attention modelsAbhirup Dikshit, Biswajeet Pradhan, Mazen E Assiri, et al.Sensors (Basel, Switzerland)|August 9, 2020
Earthquake Probability Assessment for the Indian Subcontinent Using Deep LearningRatiranjan Jena, Biswajeet Pradhan, Abdullah Al-Amri, et al.Journal of Exposure Science & Environmental Epidemiology|November 7, 2020
Spatial identification and temporal prediction of air pollution sources using conditional bivariate probability function and time series signatureOmar F Althuwaynee, Badal Pokharel, Ali Aydda, et al.Sensors (Basel, Switzerland)|August 10, 2019
Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR DataUsman Salihu Lay, Biswajeet Pradhan, Zainuddin Bin Md Yusoff, et al.Environmental Science and Pollution Research International|April 9, 2021
Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithmsOmar F AlThuwaynee, Sang-Wan Kim, Mohamed A Najemaden, et al.Pageof 1