A5034817501- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Hydrology and Drought Analysis
- Urban Stormwater Management Solutions
- Hydraulic flow and structures
- Tunneling and Rock Mechanics
- Rock Mechanics and Modeling
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Precipitation Measurement and Analysis
- Water-Energy-Food Nexus Studies
- Water Quality Monitoring Technologies
- Water Systems and Optimization
- Dam Engineering and Safety
- Mineral Processing and Grinding
- Soil erosion and sediment transport
- Geotechnical Engineering and Analysis
- Groundwater and Watershed Analysis
- Drilling and Well Engineering
- Concrete and Cement Materials Research
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Geotechnical Engineering and Underground Structures
University College London
2025
Universiti Malaysia Sarawak
2007-2024
University of Malaya
2015-2024
Changsha University of Science and Technology
2019-2020
Universiti Sains Malaysia
2008-2010
Malaysia University of Science and Technology
2009
Hospital Universiti Sains Malaysia
2008
Abstract In nature, streamflow pattern is characterized with high non-linearity and non-stationarity. Developing an accurate forecasting model for a highly essential several applications in the field of water resources engineering. One main contributors modeling reliability optimization input variables to achieve model. The step selection proper combinations. Hence, developing algorithm that can determine optimal combinations crucial. This study introduces Genetic (GA) better combination...
Reference evapotranspiration (ET0) plays a fundamental role in irrigated agriculture. The objective of this study is to simulate monthly ET0 at meteorological station India using new method, an improved support vector machine (SVM) based on the cuckoo algorithm (CA), which known as SVM-CA. Maximum temperature, minimum relative humidity, wind speed and sunshine hours were selected inputs for models used simulation. results simulation SVM-CA compared with those from experimental models,...
Solar energy is a major type of renewable energy, and its estimation important for decision-makers. This study introduces new prediction model solar radiation based on support vector regression (SVR) the improved particle swarm optimization (IPSO) algorithm. The version algorithm attempts to enhance global search ability PSO. In practice, SVR method has few parameters that should be determined through trial-and-error procedure while developing model. usually leads non-optimal choices these...
Deep learning excels at managing spatial and temporal time series with variable patterns for streamflow forecasting, but traditional machine algorithms may struggle complicated data, including non-linear multidimensional complexity. Empirical heterogeneity within watersheds limitations inherent to each estimation methodology pose challenges in effectively measuring appraising hydrological statistical frameworks of variables. This study emphasizes forecasting the region Johor, a coastal state...
Sediment data pertains to various hydrological variables with complex sediment hydrodynamics such as sedimentation rates which are often incompletely presented. Thus, the availability of is utmost necessity for accessibility. A comparative analysis on missing fine imputation performance was made based four different techniques, namely k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple (MR), and Artificial Neural Network (ANN), under single (SI) multiple (MI) regimes....
Abstract The growing demand for freight logistics in urban areas has led to traffic congestion, greenhouse gas emissions, and noise pollution, which have negative environmental impacts contribute the rising cost of delivery transportation. An alternative radical solution is provide an encased system (EFDS), sending wagons on rails, powered by electro-motive green energy. EFDS design secure, intelligent a low carbon footprint transport delivering through buried, suspended or overground pipes....