A Novel Hybrid Decompose-Ensemble Strategy with a VMD-BPNN Approach for Daily Streamflow Estimating

Good-quality Long-term Forecast of Spring-summer Flood Runoff for Mountain Rivers

(2021) Yuri B. Kirsta et al.   WATER RESOURCES MANAGEMENT

A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

(2020) Xinxin He et al.   WATER RESOURCES MANAGEMENT

Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks

(2019) Xinxin He et al.   WATER RESOURCES MANAGEMENT

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

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

(2018) Mingfei Niu et al.   APPLIED MATHEMATICAL MODELLING

Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD

(2018) Satish Mohanty et al.   MEASUREMENT

Chatter detection in milling process based on VMD and energy entropy

(2018) Changfu Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City

(2017) Nicholas E. Johnson et al.   WASTE MANAGEMENT

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

(2016) Xi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Potential application of wavelet neural network ensemble to forecast streamflow for flood management

(2016) K.S. Kasiviswanathan et al.   JOURNAL OF HYDROLOGY

Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany

(2016) Basant Yadav et al.   MEASUREMENT

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow

(2016) Jonathan Barge et al.   Water

Analyzing effects of climate change on streamflow in a glacier mountain catchment using an ARMA model

(2015) Youcun Liu et al.   QUATERNARY INTERNATIONAL

Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

(2015) Ozgur Kisi   WATER RESOURCES MANAGEMENT

Variational Mode Decomposition

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

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation

(2013) Majid Dehghani et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Improving real time flood forecasting using fuzzy inference system

(2013) Anil Kumar Lohani et al.   JOURNAL OF HYDROLOGY

The combined use of wavelet transform and black box models in reservoir inflow modeling

(2013) Umut Okkan et al.   Journal of Hydrology and Hydromechanics

Monthly streamflow forecasting based on improved support vector machine model

(2011) Jun Guo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extraction of oil debris signature using integral enhanced empirical mode decomposition and correlated reconstruction

(2011) C Li et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

Importance analysis of local and global climate inputs for basin-scale streamflow prediction

(2011) Rajib Maity et al.   WATER RESOURCES RESEARCH

Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting

(2010) H. Yonaba et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model

(2010) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

A wavelet-based approach to assessing timing errors in hydrologic predictions

(2010) Yuqiong Liu et al.   JOURNAL OF HYDROLOGY

Application of integrated back-propagation network and self organizing map for flood forecasting

(2009) Chao-Chung Yang et al.   HYDROLOGICAL PROCESSES

Comparison of artificial neural network models for hydrologic predictions at multiple gauging stations in an agricultural watershed

(2008) E. Mutlu et al.   HYDROLOGICAL PROCESSES

A review on Hilbert-Huang transform: Method and its applications to geophysical studies

(2008) Norden E. Huang et al.   REVIEWS OF GEOPHYSICS