Search Results - 57206939156

Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models by Kumar P., Lai S.H., Wong J.K., Mohd N.S., Kamal M.R., Afan H.A., Ahmed A.N., Sherif M., Sefelnasr A., El-Shafie A.

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Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia by Hanoon M.S., Ahmed A.N., Zaini N., Razzaq A., Kumar P., Sherif M., Sefelnasr A., El-Shafie A.

Investigating the application of artificial intelligence for earthquake prediction in Terengganu by Marhain S., Ahmed A.N., Murti M.A., Kumar P., El-Shafie A.

Suspended sediment load prediction using long short-term memory neural network by AlDahoul N., Essam Y., Kumar P., Ahmed A.N., Sherif M., Sefelnasr A., Elshafie A.

Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network by Kumar P., Lai S.H., Mohd N.S., Kamal M.R., Ahmed A.N., Sherif M., Sefelnasr A., El-shafie A.

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Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction by Heng S.Y., Ridwan W.M., Kumar P., Ahmed A.N., Fai C.M., Birima A.H., El-Shafie A.

Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches by Osman A.I.A., Ahmed A.N., Huang Y.F., Kumar P., Birima A.H., Sherif M., Sefelnasr A., Ebraheemand A.A., El-Shafie A.

Rainfall Variability Index (RVI) analysis of dry spells in Malaysia by Huang Y.F., Ahmed A.N., Ng J.L., Tan K.W., Kumar P., El-Shafie A.

Application of Soft Computing in Predicting Groundwater Quality Parameters by Hanoon M.S., Ammar A.M., Ahmed A.N., Razzaq A., Birima A.H., Kumar P., Sherif M., Sefelnasr A., El-Shafie A.

Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source by Hanoon M.S., Ahmed A.N., Kumar P., Razzaq A., Zaini N., Huang Y.F., Sherif M., Sefelnasr A., Chau K.W., El-Shafie A.

Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia by Zubaidi S.L., Kumar P., Al-Bugharbee H., Ahmed A.N., Ridha H.M., Mo K.H., El-Shafie A.

Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High by Dullah H., Ahmed A.N., Kumar P., Elshafie A.

Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index by Subramaniam P., Ahmed A.N., Fai C.M., Abdul Malek M., Kumar P., Huang Y.F., Sherif M., Elshafie A.

Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater by Khan M.S.J., Sidek L.M., Kumar P., Alkhadher S.A.A., Basri H., Zawawi M.H., El-Shafie A., Ahmed A.N.

Optimised neural network model for river-nitrogen prediction utilizing a new training approach by Kumar P., Lai S.H., Mohd N.S., Kamal M.R., Afan H.A., Ahmed A.N., Sherif M., Sefelnasr A., El-Shafie A.

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Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron by Ehteram M., Ahmed A.N., Kumar P., Sherif M., El-Shafie A.

Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia by Essam Y., Kumar P., Ahmed A.N., Murti M.A., El-Shafie A.

Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques by Tofiq Y.M., Latif S.D., Ahmed A.N., Kumar P., El-Shafie A.

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China by Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.

Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm by Ehteram M., Panahi F., Ahmed A.N., Huang Y.F., Kumar P., Elshafie A.