Showing results 6 to 25 of 30
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| Issue Date | Title | Author(s) |
| 2022-01-01 | Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt | Youssef, AM; Pradhan, B; Dikshit, A; Mahdi, AM |
| 2021-10-01 | Comparison between deep learning and tree‐based machine learning approaches for landslide susceptibility mapping | Saha, S; Roy, J; Hembram, TK; Pradhan, B; Dikshit, A; Abdul Maulud, KN; Alamri, AM |
| 2019-01-01 | Determination of rainfall thresholds for landslide prediction using an algorithm-based approach: Case study in the Darjeeling Himalayas, India | Teja, TS; Dikshit, A; Satyam, N |
| 2020-04-01 | Estimating rainfall threshold and temporal probability for landslide occurrences in Darjeeling Himalayas | Dikshit, A; Satyam, N; Pradhan, B; Kushal, S |
| 2019-01-01 | Estimating rainfall thresholds for landslide occurrence in the Bhutan Himalayas | Dikshit, A; Sarkar, R; Pradhan, B; Acharya, S; Dorji, K |
| 2019-12-01 | Estimation of Rainfall-Induced Landslides Using the TRIGRS Model | Dikshit, A; Satyam, N; Pradhan, B |
| 2021-12-01 | Explainable AI in drought forecasting | Dikshit, A; Pradhan, B |
| 2022-11-01 | Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine Learning Multi-Classifiers | Serbouti, I; Raji, M; Hakdaoui, M; El Kamel, F; Pradhan, B; Gite, S; Alamri, A; Maulud, KNA; Dikshit, A |
| 2021-08-21 | Interpretable and explainable AI (XAI) model for spatial drought prediction. | Dikshit, A; Pradhan, B |
| 2022-01-01 | Landslide Early Warning System in Kalimpong, West Bengal | Dikshit, A; Satyam, N |
| 2022-04-01 | Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA | Youssef, AM; Pradhan, B; Dikshit, A; Al-Katheri, MM; Matar, SS; Mahdi, AM |
| 2021-02 | Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model. | Dikshit, A; Pradhan, B; Alamri, AM |
| 2020-07-01 | Parametric study of local site response for bedrock ground motion to earthquake in Phuentsholing, Bhutan | Tempa, K; Sarkar, R; Dikshit, A; Pradhan, B; Simonelli, AL; Acharya, S; Alamri, AM |
| 2021 | Pathways and challenges of the application of artificial intelligence to geohazards modelling | Dikshit, A; Pradhan, B; Alamri, AM |
| 2021-01-01 | Probabilistic assessment of Paglajhora landslide using SLOPE/W | Dikshit, A; Satyam, N |
| 2020-04-01 | Rainfall induced landslide studies in indian himalayan region: A critical review | Dikshit, A; Sarkar, R; Pradhan, B; Segoni, S; Alamri, AM |
| 2020-06-01 | Short-term spatio-temporal drought forecasting using random forests model at New South Wales, Australia | Dikshit, A; Pradhan, B; Alamri, AM |
| 2022-12-01 | Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture | Abdollahi, A; Liu, Y; Pradhan, B; Huete, A; Dikshit, A; Nguyen Tran, N |
| 2022-09-01 | Solving transparency in drought forecasting using attention models. | Dikshit, A; Pradhan, B; Assiri, ME; Almazroui, M; Park, H-J |
| 2021-01-01 | Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha | Saha, S; Kundu, B; Paul, GC; Mukherjee, K; Pradhan, B; Dikshit, A; Abdul Maulud, KN; Alamri, AM |
