| Issue Date | Title | Author(s) |
| 2020-08-03 | A comparison between three conditioning factors dataset for landslide prediction in the sajadrood catchment of iran | Kalantar, B; Ueda, N; Al-Najjar, HAH; Saeidi, V; Gibril, MBA; Halin, AA |
| 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 | A new integrated approach for landslide data balancing and spatial prediction based on generative adversarial networks (GAN) | Al-Najjar, HAH; Pradhan, B; Sarkar, R; Beydoun, G; Alamri, A |
| 2022-01-01 | A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset | Al-Najjar, HAH; Pradhan, B; Beydoun, G; Sarkar, R; Park, HJ; Alamri, A |
| 2020-11-01 | Assessment of convolutional neural network architectures for earthquake-induced building damage detection based on pre-and post-event orthophoto images | Kalantar, B; Ueda, N; Al-Najjar, HAH; Halin, AA |
| 2019-01-01 | Conditioning factor determination for mapping and prediction of landslide susceptibility using machine learning algorithms | Al-Najjar, HAH; Kalantar, B; Pradhan, B; Saeidi, V |
| 2019-07 | Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning | Kalantar, B; Ueda, N; Lay, US; Al-Najjar, HAH; Halin, AA |
| 2018-01-01 | A geospatial solution using a TOPSIS approach for prioritizing urban projects in Libya | Amazeeq, MSAB; Kalantar, B; Al-Najjar, HAH; Idrees, MO; Pradhan, B; Mansor, S |
| 2019-06-01 | Land cover classification from fused DSM and UAV images using convolutional neural networks | Al-Najjar, HAH; Kalantar, B; Pradhan, B; Saeidi, V; Halin, AA; Ueda, N; Mansor, S |
| 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 |
| 2021-08-02 | Landslide susceptibility modeling: An integrated novel method based on machine learning feature transformation | Al-Najjar, HAH; Pradhan, B; Kalantar, B; Sameen, MI; Santosh, M; Alamri, A |
| 2021-01-01 | Object-Oriented Approach for Urbanization Growth by Using Remote Sensing and GIS Techniques: A Case Study in Hilla City, Babylon Governorate, Iraq | Mahmoud, AS; Kalantar, B; Al-Najjar, HAH; Moayedi, H; Halin, AA; Mansor, S |
| 2019-01-01 | Optimized conditioning factors using machine learning techniques for groundwater potential mapping | Kalantar, B; Al-Najjar, HAH; Pradhan, B; Saeidi, V; Halin, AA; Ueda, N; Naghibi, SA |
| 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 |
