Showing results 21 to 38 of 38
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| Issue Date | Title | Author(s) |
| 2019-12-01 | Irrigation water allocation at farm level based on temporal cultivation-related data using meta-heuristic optimisation algorithms | Saeidian, B; Mesgari, MS; Pradhan, B; Alamri, AM |
| 2020-01-01 | Landslide Detection Using a Saliency Feature Enhancement Technique from LiDAR-Derived DEM and Orthophotos | Pradhan, B; Al-Najjar, HAH; Sameen, MI; Mezaal, MR; Alamri, AM |
| 2020-01-01 | Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests | Sameen, MI; Sarkar, R; Pradhan, B; Drukpa, D; Alamri, AM; Park, HJ |
| 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 |
| 2021-12 | Multi-sectoral impact assessment during the 1st wave of COVID-19 pandemic in West Bengal (India) for sustainable planning and management | Mondal, BK; Sahoo, S; Paria, P; Chakraborty, S; 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 | Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta | Serbouti, I; Raji, M; Hakdaoui, M; Pradhan, B; Lee, CW; Alamri, AM |
| 2020-04-01 | Rainfall induced landslide studies in indian himalayan region: A critical review | Dikshit, A; Sarkar, R; Pradhan, B; Segoni, S; Alamri, AM |
| 2021-01-01 | Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples | “This is an Accepted Manuscript of an article published by Taylor & Francis in [Geomatics Natural Hazards and Risk, 2021, 12, (1), pp. 794-828], available online: https://www.tandfonline.com/doi/full/10.1080/19475705.2021.1890644]”; Hembram, TK; Saha, S; Pradhan, B; Abdul Maulud, KN; 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 |
| 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 |
| 2020-04-01 | Spatial landslide risk assessment at Phuentsholing, Bhutan | Dikshit, A; Sarkar, R; Pradhan, B; Acharya, S; Alamri, AM |
| 2020-08-01 | Susceptibility to seismic amplification and earthquake probability estimation using recurrent neural network (RNN) Model in Odisha, India | Jena, R; Pradhan, B; Alamri, AM |
| 2020-04-01 | Systematic sample subdividing strategy for training landslide susceptibility models | Sameen, MI; Pradhan, B; Bui, DT; Alamri, AM |
| 2020-06-01 | Temporal hydrological drought index forecasting for New South Wales, Australia using machine learning approaches | Dikshit, A; Pradhan, B; Alamri, AM |
| 2020-01-17 | Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan | Dikshit, A; Sarkar, R; Pradhan, B; Jena, R; Drukpa, D; Alamri, AM |
| 2020-05-01 | Unseen land cover classification fromhigh-resolution orthophotos using integration of zero-shot learning and convolutional neural networks | Pradhan, B; Al-Najjar, HAH; Sameen, MI; Tsang, I; Alamri, AM |
