The potential of integrated hybrid data processing techniques for successive-station streamflow prediction

Data-driven approaches for runoff prediction using distributed data

(2021) Heechan Han et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models

(2021) Hamid Darabi et al.   Soft Computing

Post-processing of the North American multi-model ensemble for monthly forecast of precipitation based on neural network models

(2020) Morteza Pakdaman et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Prediction of form roughness coefficient in alluvial channels using efficient hybrid approaches

(2020) Kiyoumars Roushangar et al.   SOFT COMPUTING

Calibration of SWAT and Two Data-Driven Models for a Data-Scarce Mountainous Headwater in Semi-Arid Konya Closed Basin

(2019) Cihangir Koycegiz et al.   Water

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

(2018) Isa Ebtehaj et al.   COASTAL ENGINEERING

Exploring the effects of climatic variables on monthly precipitation variation using a continuous wavelet-based multiscale entropy approach

(2018) Kiyoumars Roushangar et al.   ENVIRONMENTAL RESEARCH

Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960–2010 using ensemble empirical mode decomposition

(2018) Kiyoumars Roushangar et al.   JOURNAL OF HYDROINFORMATICS

Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

A hybrid linear–nonlinear approach to predict the monthly rainfall over the Urmia Lake watershed using wavelet-SARIMAX-LSSVM conjugated model

(2017) Jamileh Farajzadeh et al.   JOURNAL OF HYDROINFORMATICS

A novel approach for optimizing climate features and network parameters in rainfall forecasting

(2017) Ali Haidar et al.   SOFT COMPUTING

Estimation of hydraulic jump characteristics of channels with sudden diverging side walls via SVM

(2017) Kiyoumars Roushangar et al.   WATER SCIENCE AND TECHNOLOGY

Prediction of side weir discharge coefficient by support vector machine technique

(2016) H. M. Azamathulla et al.   Water Science and Technology-Water Supply

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

(2015) Wen-chuan Wang et al.   ENVIRONMENTAL RESEARCH

Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals

(2015) Ram Bilas Pachori et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of reservoir sedimentation using data driven techniques

(2013) Vaibhav Garg et al.   APPLIED SOFT COMPUTING

Empirical Mode Decomposition vs. Wavelet Decomposition for the Extraction of Respiratory Signal From Single-Channel ECG: A Comparison

(2013) Domenico Labate et al.   IEEE SENSORS JOURNAL

Enhanced accuracy of rainfall–runoff modeling with wavelet transform

(2013) Chien-ming Chou   JOURNAL OF HYDROINFORMATICS

Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique

(2013) Ali Danandeh Mehr et al.   JOURNAL OF HYDROLOGY

A multi-model approach for long-term runoff modeling using rainfall forecasts

(2011) Alexandre G. Evsukoff et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A novel application of a neuro-fuzzy computational technique in event-based rainfall–runoff modeling

(2010) Amin Talei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classified real-time flood forecasting by coupling fuzzy clustering and neural network

(2010) Minglei REN et al.   International Journal of Sediment Research

Development of a new method of wavelet aided trend detection and estimation

(2009) Kaz Adamowski et al.   HYDROLOGICAL PROCESSES

Application of the EEMD method to rotor fault diagnosis of rotating machinery

(2008) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING