A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini index and sequence-to-sequence approaches

The Need for Cognition on Earthquake Risk in China Based on Psychological Distance Theory

(2021) Shasha Li et al.   COMPLEXITY

Meta-learning Based Prediction of Different Corn Cultivars from Colour Feature Extraction with Image Processing Technique

(2021) Abdullah BEYAZ et al.   Tarim Bilimleri Dergisi-Journal of Agricultural Sciences

Deep Learning with Long Short Term Memory Based Sequence-to-Sequence Model for Rainfall-Runoff Simulation

(2021) Heechan Han et al.   Water

Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts

(2021) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model

(2021) Hanlin Yin et al.   JOURNAL OF HYDROLOGY

Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting

(2020) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

Selection of the optimum decomposition level using the discrete wavelet transform for automobile suspension system

(2020) Airee Afiq Abd Rahim et al.   Journal of Mechanical Science and Technology

Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pakistan

(2020) Muhammad Sibtain et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Modeling Daily and Monthly Water Quality Indicators in a Canal Using a Hybrid Wavelet-Based Support Vector Regression Structure

(2020) Yuxin Wang et al.   Water

Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

(2020) Halit Apaydin et al.   Water

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

A Compound Approach for Monthly Runoff Forecasting Based on Multiscale Analysis and Deep Network with Sequential Structure

(2020) Shi Chen et al.   Water

Applicability of a Three-Stage Hybrid Model by Employing a Two-Stage Signal Decomposition Approach and a Deep Learning Methodology for Runoff Forecasting at Swat River Catchment, Pakistan

(2020) Muhammad Sibtain et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

A Multivariate and Multistage Medium- and Long-Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network

(2020) Muhammad Sibtain et al.   Advances in Meteorology

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

Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation

(2019) D. A. Sachindra et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam

(2019) Mohammad Rezaie-Balf et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Streamflow and rainfall forecasting by two long short-term memory-based models

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture

(2019) Chong Bian et al.   JOURNAL OF POWER SOURCES

Short-term wind speed prediction using an extreme learning machine model with error correction

(2018) Lili Wang et al.   ENERGY CONVERSION AND MANAGEMENT

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

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

A Haar Wavelet Decision Feedback Channel Estimation Method in OFDM Systems

(2018) Ruiguang Tang et al.   Applied Sciences-Basel

A SVR-ANN combined model based on ensemble EMD for rainfall prediction

(2018) Yu Xiang et al.   APPLIED SOFT COMPUTING

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Application of Integrated Artificial Neural Networks Based on Decomposition Methods to Predict Streamflow at Upper Indus Basin, Pakistan

(2018) Muhammad Tayyab et al.   Atmosphere

A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework

(2017) Zhongmin Liang et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks

(2017) Tian Peng et al.   Water

Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China

(2016) Shuang Zhu et al.   Environmental Earth Sciences

ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS

(2015) Riccardo Taormina et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Thermal image based fault diagnosis for rotating machinery

(2015) Olivier Janssens et al.   INFRARED PHYSICS & TECHNOLOGY

Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting

(2015) Xue-hua Zhao et al.   WATER RESOURCES MANAGEMENT

Improved annual rainfall-runoff forecasting using PSO–SVM model based on EEMD

(2015) Wen-chuan Wang et al.   JOURNAL OF HYDROINFORMATICS

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting

(2014) Vinit Sehgal et al.   WATER RESOURCES MANAGEMENT

Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models

(2014) Vinit Sehgal et al.   WATER RESOURCES MANAGEMENT

M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey

(2013) M. Taghi Sattari et al.   Water Resources

Application of a data mining approach to derive operating rules for the Eleviyan irrigation reservoir

(2012) M. Taghi Sattari et al.   LAKE AND RESERVOIR MANAGEMENT

Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India

(2012) R.R. Sahay et al.   Journal of Flood Risk Management

Flow estimations for the Sohu Stream using artificial neural networks

(2011) M. Taghi Sattari et al.   Environmental Earth Sciences

Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples

(2011) Dornoosh Zonoobi et al.   IEEE Journal of Selected Topics in Signal Processing

A new wavelet–bootstrap–ANN hybrid model for daily discharge forecasting

(2011) Mukesh K. Tiwari et al.   JOURNAL OF HYDROINFORMATICS

Long-term prediction of precipitation and hydrologic extremes with nonstationary oscillation processes

(2010) T. Lee et al.   JOURNAL OF GEOPHYSICAL RESEARCH

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

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