Showing results 1 to 20 of 38
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| Issue Date | Title | Author(s) |
| 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 |
| 2021-11-01 | A meta-learning approach of optimisation for spatial prediction of landslides | Pradhan, B; Sameen, MI; Al-Najjar, HAH; Sheng, D; Alamri, AM; Park, HJ |
| 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 |
| 2021-05-01 | Earthquake risk assessment in NE India using deep learning and geospatial analysis | Jena, R; Pradhan, B; Naik, SP; Alamri, 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 |
| 2021-01-01 | Cyclone vulnerability assessment of the western coast of Bangladesh | Hoque, MA-A; Pradhan, B; Ahmed, N; Ahmed, B; Alamri, AM |
| 2021-01-01 | Forecasting landslides using SIGMA model: a case study from Idukki, India | Abraham, MT; Satyam, N; Shreyas, N; Pradhan, B; Segoni, S; Maulud, KNA; Alamri, AM |
| 2021-01-01 | Integrating multilayer perceptron neural nets with hybrid ensemble classifiers for deforestation probability assessment in Eastern India | Saha, S; Paul, GC; Pradhan, B; Abdul Maulud, KN; 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 |
| 2021-01-01 | Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers | Al-Bawi, AJ; Al-Abadi, AM; 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 |
| 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 |
| 2021 | An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images | Abdollahi, A; Pradhan, B; Alamri, AM |
| 2021 | Pathways and challenges of the application of artificial intelligence to geohazards modelling | Dikshit, A; Pradhan, B; Alamri, AM |
| 2020-12-20 | Earthquake hazard and risk assessment using machine learning approaches at Palu, Indonesia | Jena, R; Pradhan, B; Beydoun, G; Alamri, AM; Ardiansyah; Nizamuddin; Sofyan, H |
| 2020-12-01 | Future Water Use Planning by Water Evaluation and Planning System Model | Sahoo, S; Dhar, A; Debsarkar, A; Pradhan, B; Alamri, AM |
| 2020-10-24 | Do Termitaria Indicate the Presence of Groundwater? A Case Study of Hydrogeophysical Investigation on a Land Parcel with Termite Activity. | Ahmed, JB; Salisu, A; Pradhan, B; Alamri, AM |
| 2020-08-01 | Assessment of wetland ecosystem health using the pressure-state-response (PSR) model: A case study of Mursidabad District of West Bengal (India) | Das, S; Pradhan, B; Shit, PK; 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 |
| 2020-07-01 | Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities Using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approach | Ghosh, S; Das, A; Hembram, TK; Saha, S; Pradhan, B; Alamri, AM |
