A. El-shafie

发表

The Practical Influence of Climate Change on the Performance of Road Stormwater Drainage Infrastructure

Mohammed Saleh Al-Ghadi, W. Mohtar, Siti Fatin Mohd Razali, 2020, Journal of Engineering.

Arsenic removal from water using N,N-diethylethanolammonium chloride based DES-functionalized CNTs: (NARX) neural network approach

Sabah S. Fayaed, A. El-shafie, M. Alsaadi, 2018, Journal of Water Supply: Research and Technology-Aqua.

Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent

M. F. Chow, Sabah S. Fayaed, A. Ahmed, 2019, International journal of molecular sciences.

A comparison of machine learning models for suspended sediment load classification

Mohammed Falah Allawi, K. Chau, Nouar Aldahoul, 2022, Engineering Applications of Computational Fluid Mechanics.

Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates

M. Ehteram, R. Graf, A. Ahmed, 2022, Stochastic Environmental Research and Risk Assessment.

Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction

Wanie M. Ridwan, A. H. Birima, A. Ahmed, 2022, Scientific Reports.

BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach

Farouq S. Mjalli, Sabah Saadi Fayaed, Sabah S. Fayaed, 2018, Journal of Environmental Engineering.

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

A. El-shafie, Pavitra Kumar, A. Alkhayyat, 2022, Ain Shams Engineering Journal.

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

O. Kisi, Ayman Yafouz, A. H. Birima, 2022, Natural Hazards.

Hydraulic Modelling Analysis for Road Stormwater Drainage Evaluation under RCPs‎ Based Rainfall Data

Mohammed Saleh Al-Ghadi, W. Mohtar, Siti Fatin Mohd Razali, 2020, Civil Engineering and Architecture.

Bridge Failure Prevention: An Overview of Self-Protected Pier as Flow Altering Countermeasures for Scour Protection

Teh Sabariah Abd Manan, W. Mohtar, A. El-shafie, 2020 .

Potential of Epoxidised Natural Rubber Alumina Nanoparticles (ENRAN) sheet as local bridge pier scour countermeasure

W. Mohtar, A. El-shafie, S. Sharil, 2020 .

Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region

Mohammed Falah Allawi, F. Othman, M. Sherif, 2022, Applied Water Science.

Uncertainty analysis for extreme flood events in a semi-arid region

Yuk Feng Huang, J. Adamowski, A. El-shafie, 2015, Natural Hazards.

State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting

F. Teo, S. Lai, A. El-shafie, 2022, Archives of Computational Methods in Engineering.

Investigating photovoltaic solar power output forecasting using machine learning algorithms

K. Chau, A. Ahmed, M. Sherif, 2022, Engineering Applications of Computational Fluid Mechanics.

Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques

A. Ahmed, A. El-shafie, Pavitra Kumar, 2022, Water Resources Management.

Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region

Mohammed Falah Allawi, F. Othman, M. Sherif, 2022, Applied Water Science.

A scoping review of flash floods in Malaysia: current status and the way forward

F. Othman, M. Sherif, A. El-shafie, 2022, Natural Hazards.

Optimal operation of hydropower reservoirs under climate change

M. F. Chow, K. Chau, M. Ehteram, 2022, Environment, Development and Sustainability.

Three Steps towards Better Forecasting for Streamflow Deep Learning

D. J. Armaghani, F. Teo, S. Lai, 2022, Applied Sciences.

Towards a time and cost effective approach to water quality index class prediction

Ahmed El-Shafie, Amr H. El-Shafie, Ali Najah Ahmed, 2019, Journal of Hydrology.

Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms

Mohammed Falah Allawi, F. Othman, A. El-shafie, 2022, Applied Water Science.

Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network

Md Rowshon Kamal, N. Mohd, A. Ahmed, 2021, Engineering Applications of Computational Fluid Mechanics.

Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

Yuk Feng Huang, C. Koo, A. Ahmed, 2022, Appl. Soft Comput..

Separation and attribution of impacts of changes in land use and climate on hydrological processes

Duong Tran Anh, K. Khedher, Q. Pham, 2023, Theoretical and Applied Climatology.

Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation

Ahmed El-Shafie, Muhammad Mukhlisin, Mohd Raihan Taha, 2011, Neural Computing and Applications.

Rainfall prediction using multiple inclusive models and large climate indices

M. Ehteram, A. Ahmed, A. El-shafie, 2022, Environmental Science and Pollution Research.

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

Reham R. Mostafa, O. Kisi, A. Ahmed, 2022 .

Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach

Sabah S. Fayaed, Ako R. Hama, L. Hin, 2019, Environmental Progress & Sustainable Energy.

Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source

Yuk Feng Huang, K. Chau, A. Ahmed, 2022, Engineering Applications of Computational Fluid Mechanics.

Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia

Ahmed El-Shafie, Ali Najah Ahmed, Mohsen Sherif, 2020 .

Applications of the Box-Wilson design model for bio-hydrogen production using Clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564).

J. Jahim, A. Zaharim, A. Kadhum, 2010, Pakistan journal of biological sciences : PJBS.

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms

Yuk Feng Huang, Ahmed H. Birima, A. Ahmed, 2022, Scientific Reports.

Application of Soft Computing in Predicting Groundwater Quality Parameters

A. Ahmed, M. Sherif, A. El-shafie, 2022, Frontiers in Environmental Science.

An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models

M. Ehteram, A. Ahmed, A. El-shafie, 2022, Environmental Science and Pollution Research.

RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia

Zaher Mundher Yaseen, Ahmed El-Shafie, Aini Hussain, 2015, Neural Computing and Applications.

Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan

M. F. Chow, M. A. Murti, A. Ahmed, 2022, Scientific Reports.

Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

O. Bazrafshan, M. Ehteram, A. El-shafie, 2022, Ain Shams Engineering Journal.

Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art

Aini Hussain, Haitham Abdulmohsin Afan, Mohammed Falah Allawi, 2017, Natural Hazards.

An evaluation of existent methods for estimation of embankment dam breach parameters

Abdul Halim Ghazali, Lariyah Mohd Sidek, Ahmed El-Shafie, 2017, Natural Hazards.

Conceptual Sim-Heuristic Optimization Algorithm to Evaluate the Climate Impact on Reservoir Operations

C. Koo, A. El-shafie, V. Lai, 2022, Journal of Hydrology.

Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

M. Ehteram, A. El-shafie, Zohreh Sheikh Khozani, 2022, Journal of Cleaner Production.

Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates

M. Ehteram, R. Graf, A. Ahmed, 2022, Stochastic Environmental Research and Risk Assessment.

Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting

Sinan Q. Salih, Mohammed Falah Allawi, Z. Yaseen, 2020, Scientific Reports.

Application of artificial neural networks for water quality prediction

A. Najah, O. Karim, A. El-shafie, 2013, Neural Computing and Applications.

Predicting Sea Level Rise Using Artificial Intelligence: A Review

Yuk Feng Huang, C. Koo, A. Ahmed, 2023, Archives of Computational Methods in Engineering.

Estimation of methane emission from landfills in Malaysia using the IPCC 2006 FOD Model.

Hassan Basri, Abdul Amir H. Kadhum, H. Basri, 2010 .

Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

A. Ahmed, A. El-shafie, Y. F. Huang, 2023, KSCE Journal of Civil Engineering.

Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model

Rusul Khaleel Ibrahim, W. J. Khai, Sabah S. Fayaed, 2019, Sustainability.

Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt

Ahmed El-Shafie, Amr H. El-Shafie, Mohd Raihan Taha, 2011 .

Sediment load prediction in Johor river: deep learning versus machine learning models

A. Ahmed, M. Sherif, A. El-shafie, 2023, Applied Water Science.

Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

Yuk Feng Huang, A. Ahmed, A. El-shafie, 2022, Scientific Reports.

Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review

Majid Mirzaei, Yuk Feng Huang, Ahmed El-Shafie, 2015, Stochastic Environmental Research and Risk Assessment.

The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

L. C. Brown, Lamine Diop, Ansoumana Bodian, 2018, Environmental Earth Sciences.

Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method

Yuk Feng Huang, H. Galavi, A. El-shafie, 2013 .

Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

Yuk Feng Huang, C. Koo, A. Ahmed, 2022, Applied Intelligence.

Graph convolutional network – Long short term memory neural network- multi layer perceptron- Gaussian progress regression model: A new deep learning model for predicting ozone concertation

M. Ehteram, Z. S. Khozani, A. El-shafie, 2023, Atmospheric Pollution Research.

Application of a rainfall-runoff model for regional-scale flood inundation mapping for the Langat River Basin

Yuk Feng Huang, A. El-shafie, Juneseok Lee, 2016 .

Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia

Yuk Feng Huang, O. Kisi, Ayman Yafouz, 2022, Engineering Applications of Computational Fluid Mechanics.

Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM)

A. Noureldin, D. McGaughey, A. El-shafie, 2011, Structural and Multidisciplinary Optimization.

RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)

Mohammed Falah Allawi, C. Noor, A. Ahmed, 2016, Neural Computing and Applications.

Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models

Amir Mosavi, M. Ehteram, A. El-shafie, 2023, Ain Shams Engineering Journal.

Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study

Mohammed Falah Allawi, M. Sherif, A. El-shafie, 2023, Heliyon.

Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring

Ahmed El-Shafie, Ali Najah, Othman A. Karim, 2014, Environmental Science and Pollution Research.

Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications

Nouar Aldahoul, A. Ahmed, A. El-shafie, 2023, Archives of Computational Methods in Engineering.

Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model

Quoc Bao Pham, Ahmed El-Shafie, Mohammad Rezaie-Balf, 2020, Applied Sciences.

Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting

Sinan Q. Salih, Zaher Mundher Yaseen, Ahmed El-Shafie, 2020, Scientific Reports.

Prediction of Suspended Sediment Load Using Data-Driven Models

El-Shafie, Adnan, O. Kisi, 2019, Water.

Rainfall Variability Index (RVI) analysis of dry spells in Malaysia

Yuk Feng Huang, A. Ahmed, A. El-shafie, 2022, Natural Hazards.

New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization

M. Mukhlisin, A. El-shafie, A. El-Shafie, 2014 .

Uncertainty Estimation in Flood Inundation Mapping: An Application of Non‐parametric Bootstrapping

Jan Adamowski, Majid Mirzaei, Ahmed El-Shafie, 2017 .

Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment

Qasim A. Aljanabi, Mohammed Falah Allawi, Z. Chik, 2017, Neural computing & applications (Print).

Prediction Of Atmospheric Carbon Monoxide Concentration Utilizing Different Machine Learning Algorithms: A Case study in Kuala Lumpur, Malaysia

Ayman Yafouz, Nouar Aldahoul, A. El-shafie, 2023, Environmental Technology & Innovation.

An application of different artificial intelligences techniques for water quality prediction

Ahmed El-Shafie, Ali Najah, Othman A. Karim, 2011 .

A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms

Yuk Feng Huang, C. Koo, A. Ahmed, 2022, Archives of computational methods in engineering : state of the art reviews.

The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach.

Sabah Saadi Fayaed, Sabah S. Fayaed, Mohamed Khalid AlOmar, 2017, Water science and technology : a journal of the International Association on Water Pollution Research.

Groundwater level forecasting with machine learning models: A review.

Ahmed H. Birima, A. El-shafie, M. Khan, 2024, Water research.

Anaerobic treatment in a multiple upflow filter system

A. El-shafie, D. E. Bloodgood, 2016 .

Sediment Incipient Motion in Sewer with a Bed Deposit

Aminuddin Ab. Ghani, Charles Bong Hin Joo, M. Safari, 2020, Teknik Dergi.

Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process

C. Koo, A. Ahmed, M. Sherif, 2022, Applied Water Science.

An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers

M. Ehteram, A. El-shafie, Zohreh Sheikh Khozani, 2024, Environmental Sciences Europe.

New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems

Chiu Chuen Onn, Marlinda Abdul Malek, Amr H. El-Shafie, 2019, Applied Sciences.

Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone

Haitham Abdulmohsin Afan, A. El-shafie, Ali Najah Ahmed, 2024, Ain Shams Engineering Journal.

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction

A. El-shafie, Nguyen Van Thieu, Ali Najah Ahmed, 2024, Scientific reports.

Daily predictions of solar radiation utilizing genetic programming techniques

A. Ahmed, A. El-shafie, A. Borhana, 2020 .

Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall

M. Ehteram, A. Ahmed, A. El-shafie, 2023, Water Resources Management.

A Review of Hybrid Deep Learning Applications for Streamflow Forecasting

A. El-shafie, Ali Najah Ahmed, K. L. Chong, 2023, Journal of Hydrology.