Works by Ahmed, Ali Najah
Results: 144
Overtopping risk of high-hazard embankment dam under climate change condition.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0311181
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- Article
Assessment of Daytime and Nighttime Ground Level Ozone Pollution in Malaysian Urban Areas.
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- Malaysian Journal of Medicine & Health Sciences, 2023, v. 19, n. 6, p. 242, doi. 10.47836/mjmhs.19.6.32
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- Article
Investigating the Indoor and Outdoor Respirable Suspended Particulates of Coarse (PM<sub>10</sub>), Fine (PM<sub>2.5</sub>) and Ultrafine (PM<sub>1</sub>).
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- Malaysian Journal of Medicine & Health Sciences, 2022, v. 18, p. 159, doi. 10.47836/mjmhs18.8.22
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- Article
Modeling Ground Level Ozone (O<sub>3</sub>) of Air Pollution Using Regression Technique.
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- Malaysian Journal of Medicine & Health Sciences, 2022, v. 18, p. 97, doi. 10.47836/mjmhs18.8.14
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- Article
Effects of Environmental Noise Pollution Towards School Children.
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- Malaysian Journal of Medicine & Health Sciences, 2021, v. 17, n. 3, p. 38
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- Article
Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia.
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- Sustainability (2071-1050), 2021, v. 13, n. 11, p. 5900, doi. 10.3390/su13115900
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- Article
Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy.
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- Sustainability (2071-1050), 2020, v. 12, n. 15, p. 6121, doi. 10.3390/su12156121
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- Article
Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models.
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- Sustainability (2071-1050), 2020, v. 12, n. 11, p. 4359, doi. 10.3390/su12114359
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- Article
Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia.
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- Sustainability (2071-1050), 2020, v. 12, n. 3, p. 1193, doi. 10.3390/su12031193
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- Article
Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models.
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- Sustainability (2071-1050), 2019, v. 11, n. 23, p. 6681, doi. 10.3390/su11236681
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- Article
Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model.
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- Sustainability (2071-1050), 2019, v. 11, n. 19, p. 5367, doi. 10.3390/su11195367
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- Article
Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms.
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- Sustainability (2071-1050), 2019, v. 11, n. 17, p. 4643, doi. 10.3390/su11174643
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- Article
Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies.
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- Sustainability (2071-1050), 2019, v. 11, n. 8, p. 2337, doi. 10.3390/su11082337
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- Article
A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems.
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- Sustainability (2071-1050), 2019, v. 11, n. 7, p. 1953, doi. 10.3390/su11071953
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- Article
Advanced machine learning model for better prediction accuracy of soil temperature at different depths.
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- PLoS ONE, 2020, v. 15, n. 4, p. 1, doi. 10.1371/journal.pone.0231055
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- Article
Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction.
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- PLoS ONE, 2019, v. 14, n. 5, p. 1, doi. 10.1371/journal.pone.0217634
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- Article
An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration.
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- PLoS ONE, 2019, v. 14, n. 5, p. 1, doi. 10.1371/journal.pone.0217499
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- Article
Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-61355-x
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- Article
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model.
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- Environmental Sciences Europe, 2024, v. 36, n. 1, p. 1, doi. 10.1186/s12302-024-01028-y
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- Article
Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High.
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- Earth Science Informatics, 2023, v. 16, n. 1, p. 773, doi. 10.1007/s12145-022-00913-5
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- Article
A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia.
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- Earth Science Informatics, 2022, v. 15, n. 1, p. 91, doi. 10.1007/s12145-021-00689-0
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- Article
The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization.
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- Earth Science Informatics, 2021, v. 14, n. 4, p. 2049, doi. 10.1007/s12145-021-00667-6
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- Article
A review of models for water level forecasting based on machine learning.
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- Earth Science Informatics, 2021, v. 14, n. 4, p. 1707, doi. 10.1007/s12145-021-00664-9
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- Article
Groundwater level as an input to monthly predicting of water level using various machine learning algorithms.
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- Earth Science Informatics, 2021, v. 14, n. 3, p. 1269, doi. 10.1007/s12145-021-00654-x
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- Article
Strength and Chemical Characterization of Ultra High-Performance Geopolymer Concrete: A Coherent Evaluation.
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- Civil Engineering Journal (2476-3055), 2023, v. 9, n. 12, p. 3254, doi. 10.28991/CEJ-2023-09-12-020
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- Article
Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models.
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- Water Resources Management, 2024, v. 38, n. 11, p. 4213, doi. 10.1007/s11269-024-03860-6
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- Article
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms.
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- Water Resources Management, 2024, v. 38, n. 4, p. 1207, doi. 10.1007/s11269-023-03716-5
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- Article
Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall.
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- Water Resources Management, 2023, v. 37, n. 9, p. 3631, doi. 10.1007/s11269-023-03519-8
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- Article
Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management.
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- Water Resources Management, 2023, v. 37, n. 8, p. 3227, doi. 10.1007/s11269-023-03499-9
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- Article
Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques.
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- Water Resources Management, 2022, v. 36, n. 15, p. 5999, doi. 10.1007/s11269-022-03339-2
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- Article
Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations.
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- Water Resources Management, 2022, v. 36, n. 7, p. 2201, doi. 10.1007/s11269-022-03136-x
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- Article
Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network.
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- Water Resources Management, 2020, v. 34, n. 8, p. 2371, doi. 10.1007/s11269-020-02554-z
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- Article
Streamflow classification by employing various machine learning models for peninsular Malaysia.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41735-9
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- Article
Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-45032-3
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- Article
Streamflow classification by employing various machine learning models for peninsular Malaysia.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41735-9
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- Article
Evaluation for Long Term PM<sub>10</sub> Concentration Forecasting using Multi Linear Regression (MLR) and Principal Component Regression (PCR) Models.
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- EnvironmentAsia, 2016, v. 9, n. 2, p. 101, doi. 10.14456/ea.2016.13
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- Article
Correction: Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia.
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- 2024
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- Correction Notice
Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia.
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- Environment, Development & Sustainability, 2024, v. 26, n. 5, p. 12513, doi. 10.1007/s10668-023-03885-8
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- Article
Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia.
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- Environment, Development & Sustainability, 2024, v. 26, n. 5, p. 12489, doi. 10.1007/s10668-023-03882-x
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- Article
A review of deep learning and machine learning techniques for hydrological inflow forecasting.
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- Environment, Development & Sustainability, 2023, v. 25, n. 11, p. 12189, doi. 10.1007/s10668-023-03131-1
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- Article
Optimal operation of hydropower reservoirs under climate change.
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- Environment, Development & Sustainability, 2023, v. 25, n. 10, p. 10627, doi. 10.1007/s10668-022-02497-y
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- Article
Investigating photovoltaic solar power output forecasting using machine learning algorithms.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 2002, doi. 10.1080/19942060.2022.2126528
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- Article
Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 1673, doi. 10.1080/19942060.2022.2103588
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- Article
A comparison of machine learning models for suspended sediment load classification.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 1211, doi. 10.1080/19942060.2022.2073565
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- Article
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 422, doi. 10.1080/19942060.2021.2019128
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- Article
Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 397, doi. 10.1080/19942060.2021.2019126
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- Article
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 1843, doi. 10.1080/19942060.2021.1990134
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- Article
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 1682, doi. 10.1080/19942060.2021.1982777
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- Article
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 1420, doi. 10.1080/19942060.2021.1974093
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- Article
Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 902, doi. 10.1080/19942060.2021.1926328
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- Article