FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON EEMD-CNN by LI SiQi, JIANG ZhiJian

Subjects: “…Ensemble empirical mode decomposition…”
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An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet by Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou

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Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution by Xiaoyu Yang, Piao Sheng, Shuangxi Jing, Junfa Leng

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

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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

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APPROACH TO DEPRESS THE BOUNDARY EFFECT IN EEMD ANALYSIS BASED ON IMPROVED SVR by CHAI Kai, ZHANG MeiJun, HUANG Jie, XU Wei

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FAULT DIAGNOSIS OF GEARBOX BASED ON ADAPTIVE EEMD AND FAST KURTOGRAM by XIANG Wei, LI RuYu, WANG Hui, TIAN LiYong, YU Ning

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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

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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…”
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Analysis the self-similarity of network traffic in fractional Fourier transform domain by Tong GUO, Ju-long LAN, Wan-wei HUANG, Zhen ZHANG

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Research on short-term precipitation forecasting method based on CEEMDAN-GRU algorithm by Hua Xu, Zongkai Guo, Yu Cao, Xu Cheng, Qiong Zhang, Dan Chen

Subjects: “…Complete ensemble empirical mode decomposition with adaptive noise…”
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APPLICATION OF GWO-SVM IN WIND TURBINE GEARBOX FAULT DIAGNOSIS by HU Xuan, LI Chun, YE KeHua

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Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

Subjects: “…complete ensemble empirical mode decomposition with adaptive noise…”
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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

Subjects: “…complementary ensemble empirical mode decomposition…”
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Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

Subjects: “…complete ensemble empirical mode decomposition…”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

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