Search Results - "Ming Fai Chow"
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Advanced machine learning model for better prediction accuracy of soil temperature at different depths
Published in PloS one (14-04-2020)“…Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very…”
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2
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
Published in Environmental science and pollution research international (01-10-2020)“…Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network…”
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Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential
Published in Remote sensing (Basel, Switzerland) (01-05-2020)“…The aim of the present study was to explore the correlation between the land-use/land cover change and the flash-flood potential changes in Zăbala catchment…”
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4
Efficient river water quality index prediction considering minimal number of inputs variables
Published in Engineering applications of computational fluid mechanics (01-01-2020)“…Water Quality Index (WQI) is the most common determinant of the quality of the stream-flow. According to the Department of Environment (DOE, Malaysia), WQI is…”
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5
Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction
Published in PloS one (31-05-2019)“…Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar…”
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6
Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors
Published in Water (Basel) (01-06-2019)“…The current study investigates the effect of a large climate index, such as NINO3, NINO3.4, NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin…”
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Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
Published in Water (Basel) (01-06-2019)“…Water quality analysis is a crucial step in water resources management and needs to be addressed urgently to control any pollution that may adversely affect…”
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Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions
Published in Applied sciences (01-10-2019)“…Suspended sediment load (SLL) prediction is a significant field in hydrology and hydraulic sciences, as sedimentation processes change the soil quality…”
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Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs
Published in Molecules (Basel, Switzerland) (26-03-2020)“…In the recent decade, deep eutectic solvents (DESs) have occupied a strategic place in green chemistry research. This paper discusses the application of DESs…”
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10
Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy
Published in Energies (Basel) (2019)“…The estimation of solar radiation for planning current and future periods in different fields, such as renewable energy generation, is very important for…”
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11
Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods
Published in Water (Basel) (01-06-2019)“…The current study explored the impact of climatic conditions on predicting evaporation from a reservoir. Several models have been developed for evaporation…”
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12
Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm
Published in Water (Basel) (01-03-2020)“…In this research, the advanced multilayer perceptron (MLP) models are utilized to predict the free rate of expansion that usually occurs around the pipeline…”
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13
Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction
Published in Ain Shams Engineering Journal (01-06-2021)“…This research studies the implementation of artificial neural networks (ANN) in predicting the concentration of total suspended solids (TSS) for the Fei Tsui…”
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14
Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)
Published in Alexandria engineering journal (01-06-2020)“…The identification of trends in hydrological data is crucial for sustainable planning and management of water resources under the climate-change scenario. This…”
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15
Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
Published in Water (Basel) (01-09-2018)“…Water scarcity is a serious problem throughout the world. One critical part of this problem is supplying sufficient water to meet irrigation demands for…”
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Machine learning methods for better water quality prediction
Published in Journal of hydrology (Amsterdam) (01-11-2019)“…[Display omitted] •The water quality parameters (i.e. pH, AN, and SS) of Johor River was predicted.•Three models were implemented using enhanced Wavelet…”
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Modified Approach to Reduce GCM Bias in Downscaled Precipitation: A Study in Ganga River Basin
Published in Water (Basel) (01-10-2019)“…Reanalysis data is widely used to develop predictor-predictand models, which are further used to downscale coarse gridded general circulation models (GCM) data…”
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18
Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia
Published in Ain Shams Engineering Journal (01-06-2021)“…Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction…”
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PM2.5 forecasting for an urban area based on deep learning and decomposition method
Published in Scientific reports (20-10-2022)“…Rapid growth in industrialization and urbanization have resulted in high concentration of air pollutants in the environment and thus causing severe air…”
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2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin
Published in MATEC Web of Conferences (01-01-2017)“…Flood disaster occurs quite frequently in Malaysia and has been categorized as the most threatening natural disaster compared to landslides, hurricanes,…”
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