| Optimized neural architecture for automatic landslide detection from high-resolution airborne laser scanning data MR Mezaal, B Pradhan, MI Sameen, HZ Mohd Shafri, ZM Yusoff Applied Sciences 7 (7), 730, 2017 | 94 | 2017 |
| Improving landslide detection from airborne laser scanning data using optimized Dempster–Shafer MR Mezaal, B Pradhan, HM Rizeei Remote Sensing 10 (7), 1029, 2018 | 84 | 2018 |
| An improved algorithm for identifying shallow and deep-seated landslides in dense tropical forest from airborne laser scanning data MR Mezaal, B Pradhan Catena 167, 147-159, 2018 | 60 | 2018 |
| Integration of ant colony optimization and object-based analysis for LiDAR data classification MI Sameen, B Pradhan, HZM Shafri, MR Mezaal, H bin Hamid IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 37 | 2017 |
| Data mining-aided automatic landslide detection using airborne laser scanning data in densely forested tropical areas B Pradhan, MR Mezaal Korean Journal of Remote Sensing, 2018 | 25 | 2018 |
| Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos MR Mezaal, B Pradhan, HZM Shafri, ZM Yusoff Geomatics, natural hazards and risk 8 (2), 1935-1954, 2017 | 25 | 2017 |
| Landslide detection using a saliency feature enhancement technique from LiDAR-derived DEM and orthophotos B Pradhan, HAH Al-Najjar, MI Sameen, MR Mezaal, AM Alamri Ieee Access 8, 121942-121954, 2020 | 22 | 2020 |
| Optimized rule sets for automatic landslide characteristic detection in a highly vegetated forests B Pradhan, MR Mezaal Laser Scanning Applications in Landslide Assessment, 51-68, 2017 | 14 | 2017 |
| Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data MR Mezaal, B Pradhan, HZM Shafri, H Mojaddadi, ZM Yusoff GCEC 2017: Proceedings of the 1st Global Civil Engineering Conference 1, 825-848, 2019 | 12 | 2019 |
| Fusion of Airborne Hyperspectral and WorldView2 Multispectral Images for Detailed Urban Land Cover Classification A case Study of Kuala Lumpur Malaysia AM Noori, SF Hasan, QM Ajaj, MR Mezaal, H Shafri, MA Shareef International Journal of Engineering & Technology 7 (4.37), 202-206, 2018 | 11 | 2018 |
| A Framework for Improving Urban Land Cover Using Object and Pixel-Based Techniques via Remotely Sensed Data. AS Mahmoud, MR Mezaal, MR Hameed, AS Naje Nature Environment & Pollution Technology 21, 2022 | 6 | 2022 |
| Dynamics of Land Use and Land Cover Change Using Geospatial Techniques–A Case Study of Baghdad, Iraq MR Mezaal, AS Mahmoud, MA Jasim, AS Naje Ecological Engineering & Environmental Technology 23, 2022 | 5 | 2022 |
| Response Time Analysis of Firefighting Operations Using ArcGIS Network Analyst in Puchong Fire Station Malaysia AMFAMN Mustafa Ridha Mezaal, Ammar Shaker Solid State Technology 63 (6), 2020 | 3 | 2020 |
| Enhancement the Elevations of GNSS Technique Via Calibrating Geoid Separation of Electronic Gravity Model 2008: A Case Study: Maysan, Iraq MR Mezaal, AM Fanos, HA Alkanaani, HH Mohammed Solid State Technology 63 (6), 18341-18352, 2020 | | 2020 |
| OPTIMIZED TECHNIQUES FOR LANDSLIDE DETECTION AND CHARACTERISTICS USING LiDAR DATA MR MEZAAL | | 2018 |
| Comparative analysis of integrating and combining thermal TIRS and OLI data to superior change Detection using Geospatial Techniques H Dibs, HA Hasab, MR Mezaal, N Al-Ansari | | |
| Landslide Detection Using a Saliency Feature Enhancement Technique from LiDAR-derived DEM and Orthophotos I SAMEEN, MR MEZAAL, AM ALAMRI | | |
