Development of novel hybrid models for the prediction of Covid-19 in Kuwait by Ahmad Aldousari, Maria Qurban, Ijaz Hussain, Maha Al-Hajeri

Subjects: Get full text

A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

Subjects: “…ensemble empirical mode decomposition…”
Get full text

Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis by Yan Tianxiao, Zhang Ruiliang, Wang Tie, Jiang Xiongfei

Subjects: Get full text

Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network by Haofeng ZHENG, Guohua YANG, Wenjun KANG, Zhiyuan LIU, Shitao LIU, Hong WU, Honghao ZHANG

Subjects: Get full text

Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model by Chenxiang Wang, Pengfei Zhang, Wenbin Shen, Jiayao Wang

Subjects: Get full text

Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method by Hongxia Zhang, Feng Wang, Dagong Jia, Tiegen Liu, Yimo Zhang

Subjects: Get full text

Power distribution strategy for a hybrid energy storage system suitable for wind-storage microgrid by LI Yanbo, YANG Kai, CHEN Junshuo, YAO Bobin, LIU Weiyu, WU Qisheng

Subjects: “…complementary ensemble empirical mode decomposition (ceemd)…”
Get full text

Multifractal Characteristics and Information Flow Analysis of Stock Markets Based on Multifractal Detrended Cross-Correlation Analysis and Transfer Entropy by Wenjuan Zhou, Jingjing Huang, Maofa Wang

Subjects: Get full text

Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

Subjects: “…improved complete ensemble empirical mode decomposition with adaptive noise|temporal convolutional networks|dlinear|photovoltaic forecast…”
Get full text

A New Prediction Model of Dam Deformation and Successful Application by Shuangping Li, Bin Zhang, Meng Yang, Senlin Li, Zuqiang Liu

Subjects: Get full text

Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

Subjects: Get full text

2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

Subjects: Get full text

CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis by Ruixue Wang, Ning Zhao

Subjects: “…Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)…”
Get full text

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory by Huiru ZHAO, Yihang ZHAO, Sen GUO

Subjects: “…complementary ensemble empirical mode decomposition…”
Get full text

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting by Yingying He, Likai Zhang, Tengda Guan, Zheyu Zhang

Subjects: “…complete ensemble empirical mode decomposition…”
Get full text

A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP by Zhen YANG, Yuchao MA, Li LI, Xin LI, Ziying MA

Subjects: “…ensemble empirical mode decomposition…”
Get full text

A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM by Lin ZHANG, Jichun LIU

Subjects: Get full text

FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON ICEEMD-FastICA by MA WeiPing, HONG KunYue, AN Ning, SONG YuZhou

Subjects: “…Improved complete ensemble empirical mode decomposition…”
Get full text

Multi-step prediction of coal mine adit deformation based on time convolutional long short-term memory by Wenli JI, Xin DAN, Chenyang MA, Jing CHAI, Yuyi WU, Fengqi QIU, Wentao LIU, Wulin LEI, Yongliang LIU

Subjects: Get full text

Research on Bearing Fault Diagnosis Method Based on MESO-TCN by Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen

Subjects: Get full text