A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning

(2018) Taiyong Li et al.   Energies

Forecasting stock market crisis events using deep and statistical machine learning techniques

(2018) Sotirios P. Chatzis et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rolling Bearing Fault Diagnosis based on an Improved Denoising Method Using the Complete Ensemble Empirical Mode Decomposition and the Optimized Thresholding Operation

(2018) Rabah Abdelkader et al.   IEEE SENSORS JOURNAL

Fault Feature Selection and Diagnosis of Rolling Bearings Based on EEMD and Optimized Elman_AdaBoost Algorithm

(2018) Qiang Fu et al.   IEEE SENSORS JOURNAL

Forecasting energy fluctuation model by wavelet decomposition and stochastic recurrent wavelet neural network

(2018) Lili Huang et al.   NEUROCOMPUTING

Development of a stacked ensemble model for forecasting and analyzing daily average PM 2.5 concentrations in Beijing, China

(2018) Binxu Zhai et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Health Degradation Monitoring and Early Fault Diagnosis of a Rolling Bearing Based on CEEMDAN and Improved MMSE

(2018) Yong Lv et al.   Materials

A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

(2018) Wu Deng et al.   IEEE Access

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis

(2017) Jianwei E et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Forecasting the term structure of crude oil futures prices with neural networks

(2016) Jozef Baruník et al.   APPLIED ENERGY

Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels

(2016) Taiyong Li et al.   Energies

A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing

(2016) Huimin Zhao et al.   Entropy

ECG Classification Using Wavelet Packet Entropy and Random Forests

(2016) Taiyong Li et al.   Entropy

A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price

(2016) Haruna Chiroma et al.   INTELLIGENT AUTOMATION AND SOFT COMPUTING

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting

(2015) Ling Tang et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting

(2015) Lean Yu et al.   NEURAL COMPUTING & APPLICATIONS

A fault diagnosis method of rolling element bearings based on CEEMDAN

(2015) Yaguo Lei et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

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

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

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

The Model Confidence Set

(2011)   ECONOMETRICA

Automatic Motion and Noise Artifact Detection in Holter ECG Data Using Empirical Mode Decomposition and Statistical Approaches

(2011) Jinseok Lee et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ECG signal denoising and baseline wander correction based on the empirical mode decomposition

(2007) Manuel Blanco-Velasco et al.   COMPUTERS IN BIOLOGY AND MEDICINE