Cover Image

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

algorithm; Malaysia; river; support vector machine; Algorithms; Deep Learning; Malaysia; Rivers; Support Vector Machine

Saved in:

Bibliographic Details
Main Authors:	Essam Y., Huang Y.F., Ng J.L., Birima A.H., Ahmed A.N., El-Shafie A.
Other Authors:	57203146903
Format:	Article
Published:	Nature Research 2023
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
by: Essam, Yusuf, et al.
Published: (2022)

Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
by: Essam Y., et al.
Published: (2023)

Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
by: Essam, Yusuf, et al.
Published: (2022)

Streamflow classification by employing various machine learning models for peninsular Malaysia
by: AlDahoul N., et al.
Published: (2024)

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
by: Adnan R.M., et al.
Published: (2023)

A review of hybrid deep learning applications for streamflow forecasting
by: Ng K.W., et al.
Published: (2024)

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
by: Adnan, Rana Muhammad, et al.
Published: (2022)

Streamflow forecasting using least-squares support vector machines
by: Shabri, Ani, et al.
Published: (2012)

Streamflow forecasting at ungaged sites using support vector machines
by: Zakaria, Zaurahtul Amani, et al.
Published: (2012)

Improved Prediction of Monthly Pan Evaporation Utilising Support Vector Machine Technique
by: Abed M., et al.
Published: (2023)

Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
by: Wei Y., et al.
Published: (2024)

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
by: Afan H.A., et al.
Published: (2023)

Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging
by: Panahi F., et al.
Published: (2023)

Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management
by: Latif S.D., et al.
Published: (2024)

Ozone prediction based on support vector machine
by: Tanaskuli, M., et al.
Published: (2020)

Ozone prediction based on support vector machine
by: Tanaskuli M., et al.
Published: (2023)

Sediment load prediction in Johor river: deep learning versus machine learning models
by: Latif S.D., et al.
Published: (2024)

A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
by: Ibrahim K.S.M.H., et al.
Published: (2023)

Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
by: Ahmed A.N., et al.
Published: (2023)

Time series prediction using support vector machine (SVM)
by: Ng Li Koon
Published: (2023)

Fault Detection of Bearing using Support Vector Machine-SVM
by: Borhana A.A., et al.
Published: (2023)

Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
by: Chong K.L., et al.
Published: (2024)

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
by: Afan, Haitham Abdulmohsin, et al.
Published: (2022)

Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia
by: Latif S.D., et al.
Published: (2023)

Three steps towards better forecasting for streamflow deep learning
by: Tan, Woon Yang, et al.
Published: (2022)

Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall
by: Ehteram M., et al.
Published: (2024)

Implementation of machine learning algorithms for streamflow prediction of Dokan dam
by: Sarmad Dashti Latif, Mr.
Published: (2023)

Prediction of ventricular fibrillation using support vector machine
by: Heng, Wei Wei, et al.
Published: (2020)

Selecting probability distribution for regions of Peninsular Malaysia streamflow
by: Jan, N. A. M., et al.
Published: (2016)

Deep learning model on rates of change for multi-step ahead streamflow forecasting
by: Tan, Woon Yang, et al.
Published: (2023)

Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches
by: Chia M.Y., et al.
Published: (2023)

Overview of support vector machine in modeling machining performances
by: Mat Deris, A., et al.
Published: (2011)

Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment
by: Aljanabi Q.A., et al.
Published: (2023)

Experimenting the aplicability of support vector machine regression in rainfall prediction
by: Sulaiman, Junaida
Published: (2005)

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2012)

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2011)

Protein-protein interactions prediction using support vector machines
by: Ahmed Alashwal, Hany Taher
Published: (2007)

Carbon Dioxide Emission Prediction Using Support Vector Machine
by: Chairul, Saleh, et al.
Published: (2016)

Investigation of meta-heuristics algorithms in ANN streamflow forecasting
by: Wei, Yaxing, et al.
Published: (2023)

Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine
by: Xu, Y., et al.
Published: (2015)