Universiti Tenaga Nasional

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. University of Malaya马来西亚7
2. United Arab Emirates University阿拉伯联合酋长国6
3. Semnan University伊朗4
4. Universiti Tunku Abdul Rahman Sungai Long Campus马来西亚3
5. University of Diyala伊拉克2
6. UCSI University马来西亚2
7. Universiti Malaysia Terengganu马来西亚1
8. King Saud University沙特阿拉伯1

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逐年被引

最新文献

1. 1
   Multi-Biomarker Forensic Assessment of Petroleum Pollution in a Tropical Riverine Ecosystem Using Hopanes and Polycyclic Aromatic Hydrocarbons with a Wet-Dry Season ComparisonJournal of Hazardous Materials20260
2. 2
   Smoothed particle hydrodynamics simulation of debris flow on deposition areaNatural Hazards20247
3. 3
   Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modelingGeomatics, Natural Hazards and Risk202352
4. 4
   Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climatesStochastic Environmental Research and Risk Assessment202218
5. 5
   Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disasterNatural Hazards202227
6. 6
   Rainfall Variability Index (RVI) analysis of dry spells in MalaysiaNatural Hazards202212
7. 7
   Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecastsStochastic Environmental Research and Risk Assessment202242
8. 8
   An evaluation of various data pre-processing techniques with machine learning models for water level predictionNatural Hazards202135
9. 9
   Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular MalaysiaNatural Hazards202153
10. 10
    A new soft computing model for daily streamflow forecastingStochastic Environmental Research and Risk Assessment202155

高被引文献

1. 1
   Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithmNatural Hazards202080
2. 2
   A new soft computing model for daily streamflow forecastingStochastic Environmental Research and Risk Assessment202155
3. 3
   Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular MalaysiaNatural Hazards202153
4. 4
   Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modelingGeomatics, Natural Hazards and Risk202352
5. 5
   An evaluation of existent methods for estimation of embankment dam breach parametersNatural Hazards201745
6. 6
   Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecastsStochastic Environmental Research and Risk Assessment202242
7. 7
   An evaluation of various data pre-processing techniques with machine learning models for water level predictionNatural Hazards202135
8. 8
   Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disasterNatural Hazards202227
9. 9
   Investigating the application of artificial intelligence for earthquake prediction in TerengganuNatural Hazards202120
10. 10
    Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climatesStochastic Environmental Research and Risk Assessment202218

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