PUBLICATION
2025
Assessment and Enhancement of Landsat 8 Land Surface Temperature Retrieval Using Mono Window Algorithm and Machine Learning Approaches
2025
Leveraging Computational Model Approach in Understanding Infectious Disease: A Case Study in Sabah, Malaysia
2024
Charting the Aquaculture Internet of Things Impact: Key Applications, Challenges, and Future Trend
2024
Improved accuracy in IoT-Based water quality monitoring for aquaculture tanks using low-cost sensors: Asian seabass fish farming
2023
Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq
2023
Innovative Methods for Mapping the Suitability of Nature-Based Solutions for Landslide Risk Reduction
2022
A Novel Approach Based on Machine Learning and Public Engagement to Predict Water-Scarcity Risk in Urban Areas
2022
A novel approach based on machine learning and public engagement to predict water scarcity risk in urban areas
2022
Using scenario modelling for adapting to urbanization and water scarcity: Towards a sustainable city in semi-arid areas
2022
Comprehensive Vulnerability Assessment of Urban Areas Using an Integration of Fuzzy Logic Functions: Case Study of Nasiriyah City in South Iraq
2021
Deep Learning Semantic Segmentation for Water Level Detection Using Surveillance Camera
2021
Impacts of COVID-19 on the Aquatic Environment and Implications on Aquatic Food Production
2019
Improvement of Digital Elevation Model (DEM) using data fusion technique for oil palm replanting phase
2019
MODELLING EROSION AND LANDSLIDES INDUCED BY FARMING ACTIVITIES AT HILLY AREAS, CAMERON HIGHLANDS, MALAYSIA
2018
Improvement of Digital Elevation Model (DEM) using data fusion technique for oil palm replanting phase
2016
GROUNDWATER CONCEPTUAL MODEL FOR PADDY IRRIGATION
2015
Urban flood modelling combining top-view LiDAR data with ground-view SfM observations
2015
Flood Damage Assessment In Agricultural Area In Selangor River Basin
2012
A methodology for processing raw LiDAR data to support urban flood modelling framework
2012
Improved methodology for processing raw LiDAR data to support urban flood modelling ? accounting for elevated roads and bridges