Modeling of contaminant concentration using the classification-based model integrated with data preprocessing algorithms

Daily flow forecasting of perennial rivers in an arid watershed: a hybrid ensemble decomposition approach integrated with computational intelligence techniques

(2020) Seyed Alireza Torabi et al.   JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA

Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy

(2020) Huazhou Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea

(2019) Mohammad Rezaie-Balf et al.   JOURNAL OF HYDROLOGY

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

(2018) Soukayna Mouatadid et al.   ATMOSPHERIC RESEARCH

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

(2018) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

(2018) Ramendra Prasad et al.   SOIL & TILLAGE RESEARCH

Water quality variations in different climates of Iran: toward modeling total dissolved solid using soft computing techniques

(2018) Majid Montaseri et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Evaluation of the bias and precision of regression techniques and machine learning approaches in total dissolved solids modeling of an urban aquifer

(2018) Conglian Pan et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of water quality parameters using evolutionary computing-based formulations

(2018) M. Najafzadeh et al.   International Journal of Environmental Science and Technology

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Effects of total dissolved solids on growth and mortality predict distributions of stream macroinvertebrates

(2017) John R. Olson et al.   FRESHWATER BIOLOGY

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   HYDROLOGY RESEARCH

Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting

(2017) Mohammad Rezaie-balf et al.   JOURNAL OF HYDROLOGY

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   Hydrology Research

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Prediction of water quality index in free surface constructed wetlands

(2016) Reza Mohammadpour et al.   Environmental Earth Sciences

Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models

(2016) M. Najafzadeh et al.   JOURNAL OF HYDROINFORMATICS

Variational mode decomposition denoising combined the detrended fluctuation analysis

(2016) Yuanyuan Liu et al.   SIGNAL PROCESSING

Assessment of Ecological Quality of the Tajan River in Iran Using a Multimetric Macroinvertebrate Index and Species Traits

(2015) Jaber Aazami et al.   ENVIRONMENTAL MANAGEMENT

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Application of different data-driven methods for the prediction of total dissolved solids in the Zarinehroud basin

(2014) Sarvin Zaman Zad Ghavidel et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters

(2014) Hamid Zare Abyaneh   Journal of Environmental Health Science and Engineering

Support vector machines in water quality management

(2011) Kunwar P. Singh et al.   ANALYTICA CHIMICA ACTA

Diazinon Fate and Toxicity in the Tajan River (Iran) Ecosystem

(2011) Yosefali Ahmadi-Mamaqani et al.   ENVIRONMENTAL ENGINEERING SCIENCE

Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System

(2011) Jalal Shiri et al.   JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING