Related references
Note: Only part of the references are listed.Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins
Amirhosein Mosavi et al.
GEOCARTO INTERNATIONAL (2022)
Susceptibility mapping of groundwater salinity using machine learning models
Amirhosein Mosavi et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
Optimal parameter identification of PEMFC stacks using Adaptive Sparrow Search Algorithm
Yanlong Zhu et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2021)
A Modified Sparrow Search Algorithm with Application in 3d Route Planning for UAV
Guiyun Liu et al.
SENSORS (2021)
Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)
Wei Cong Leong et al.
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT (2021)
DMPPT Control of Photovoltaic Microgrid Based on Improved Sparrow Search Algorithm
Jianhua Yuan et al.
IEEE ACCESS (2021)
Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms
Katayoun Kargar et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2020)
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Yazid Tikhamarine et al.
JOURNAL OF HYDROLOGY (2020)
A survey on river water quality modelling using artificial intelligence models: 2000-2020
Tiyasha et al.
JOURNAL OF HYDROLOGY (2020)
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques
Yanlai Zhou
JOURNAL OF HYDROLOGY (2020)
Mass wasting susceptibility assessment of snow avalanches using machine learning models
Bahram Choubin et al.
SCIENTIFIC REPORTS (2020)
A novel swarm intelligence optimization approach: sparrow search algorithm
Jiankai Xue et al.
SYSTEMS SCIENCE & CONTROL ENGINEERING (2020)
Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models
Ozgur Kisi et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2019)
Uncertainty Analysis on Hybrid Double Feedforward Neural Network Model for Sediment Load Estimation with LUBE Method
Xiao-Yun Chen et al.
WATER RESOURCES MANAGEMENT (2019)
Machine learning methods for better water quality prediction
Ali Najah Ahmed et al.
JOURNAL OF HYDROLOGY (2019)
An Improved LSSVM Model for Intelligent Prediction of the Daily Water Level
Tao Guo et al.
ENERGIES (2019)
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
Shahaboddin Shamshirband et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2019)
Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China
Weili Duan et al.
PLOS ONE (2018)
River suspended sediment modelling using the CART model: A comparative study of machine learning techniques
Bahram Choubin et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
An Ameliorative Whale Optimization Algorithm for Multi-Objective Optimal Allocation of Water Resources in Handan, China
Zhihong Yan et al.
WATER (2018)
Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
Mohammad Ehteram et al.
WATER (2018)
Effect of river flow on the quality of estuarine and coastal waters using machine learning models
Mohamad Javad Alizadeh et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2018)
Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
Yusuf Yaslan et al.
MEASUREMENT (2017)
Contribution of the upper river, the estuarine region, and the adjacent sea to the heavy metal pollution in the Yangtze Estuary
Su Yin et al.
CHEMOSPHERE (2016)
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
Ozgur Kisi et al.
JOURNAL OF HYDROLOGY (2016)
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
Rahim Barzegar et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2016)
Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm
Qunli Wu et al.
ENERGIES (2015)
Wind Speed Forecasting Based on FEEMD and LSSVM Optimized by the Bat Algorithm
Wei Sun et al.
ENERGIES (2015)
Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting
Xue-hua Zhao et al.
WATER RESOURCES MANAGEMENT (2015)
Artificial Neural Network ensemble modeling with conjunctive data clustering for water quality prediction in rivers
Sung Eun Kim et al.
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH (2015)
Daily Reservoir Runoff Forecasting Method Using Artificial Neural Network Based on Quantum-behaved Particle Swarm Optimization
Chun-tian Cheng et al.
WATER (2015)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (MOPSO)
Abbas Afshar et al.
WATER RESOURCES MANAGEMENT (2013)
Prediction of water quality time series data based on least squares support vector machine
Guohua Tan et al.
INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION (2012)
Share Paper
