Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach

(2019) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis

(2018) Aleksandra Šiljić Tomić et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff

(2018) Youngmin Seo et al.   Atmosphere

Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent

(2018) Sungwon Kim et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

(2017) Bahare Raheli et al.   Environmental Earth Sciences

Hybrid soft computing approach for determining water quality indicator: Euphrates River

(2017) Jing Li et al.   NEURAL COMPUTING & APPLICATIONS

Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study

(2017) Behrooz Keshtegar et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

(2017) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River

(2017) Ehsan Olyaie et al.   Geoscience Frontiers

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

(2016) Ravinesh C Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams

(2016) Mohammad Zounemat-Kermani   HYDROLOGY RESEARCH

Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams

(2016) Mohammad Zounemat-Kermani   Hydrology Research

Estimation of dissolved oxygen using data-driven techniques in the Tai Po River, Hong Kong

(2015) Samira Nemati et al.   Environmental Earth Sciences

Prediction of dissolved oxygen in River Calder by noise elimination time series using wavelet transform

(2015) Masoud Ravansalar et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

(2015) Youngmin Seo et al.   JOURNAL OF HYDROLOGY

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

(2015) Mohamad Javad Alizadeh et al.   MARINE POLLUTION BULLETIN

Influence of wind and river discharge on the hypoxia in a shallow bay

(2015) Meng Xia et al.   OCEAN DYNAMICS

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran

(2015) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models

(2015) Sungwon Kim et al.   Water

Variational Mode Decomposition

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

Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis

(2014) Davor Antanasijević et al.   JOURNAL OF HYDROLOGY

Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

(2014) Murat Ay et al.   JOURNAL OF HYDROLOGY

Modeling the physical dynamics of daily dew point temperature using soft computing techniques

(2014) Sungwon Kim et al.   KSCE Journal of Civil Engineering

Artificial neural networks vs. Gene Expression Programming for estimating outlet dissolved oxygen in micro-irrigation sand filters fed with effluents

(2013) Pau Martí et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization

(2013) Shuangyin Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A hybrid WA–CPSO-LSSVR model for dissolved oxygen content prediction in crab culture

(2013) Shuangyin Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Artificial neural network modeling of dissolved oxygen in reservoir

(2013) Wei-Bo Chen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study

(2013) Salim Heddam   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

(2013) A. Najah et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Methods for uncertainty assessment of climate models and model predictions over East Asia

(2013) Ki-Young Heo et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Time dependent intrinsic correlation analysis of temperature and dissolved oxygen time series using empirical mode decomposition

(2013) Yongxiang Huang et al.   JOURNAL OF MARINE SYSTEMS

Evaluation of pan evaporation modeling with two different neural networks and weather station data

(2013) Sungwon Kim et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

(2013) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

(2012) Hong-Gui Han et al.   CONTROL ENGINEERING PRACTICE

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

(2012) Xiaohu Wen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling

(2012) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors

(2012) Nabeel M. Gazzaz et al.   MARINE POLLUTION BULLETIN

Study of short-term water quality prediction model based on wavelet neural network

(2012) Longqin Xu et al.   MATHEMATICAL AND COMPUTER MODELLING

Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

(2012) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Support vector machines in water quality management

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

A refined index of model performance

(2011) Cort J. Willmott et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Depth-Integrated Estimation of Dissolved Oxygen in a Lake

(2011) A. Akkoyunlu et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado

(2011) Murat Ay et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Prediction of dissolved oxygen in reservoirs using adaptive network-based fuzzy inference system

(2011) Vesna Ranković et al.   JOURNAL OF HYDROINFORMATICS

Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis

(2011) B. Khalil et al.   JOURNAL OF HYDROLOGY

A wavelet-support vector machine conjunction model for monthly streamflow forecasting

(2011) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

An efficient self-organizing RBF neural network for water quality prediction

(2011) Hong-Gui Han et al.   NEURAL NETWORKS

Neural network modeling of dissolved oxygen in the Gruža reservoir, Serbia

(2010) Vesna Ranković et al.   ECOLOGICAL MODELLING

Influence of Physical Forcing on Bottom-Water Dissolved Oxygen within Caloosahatchee River Estuary, Florida

(2010) Meng Xia et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach

(2010) Mukesh K. Tiwari et al.   JOURNAL OF HYDROLOGY

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Artificial neural network modelling of concentrations of nitrogen, phosphorus and dissolved oxygen in a non-point source polluted river in Zhejiang Province, southeast China

(2009) Dingjiang Chen et al.   HYDROLOGICAL PROCESSES

A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation

(2008) Vahid Nourani et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique

(2008) Emrah Dogan et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Performance metrics for climate models

(2008) P. J. Gleckler et al.   JOURNAL OF GEOPHYSICAL RESEARCH