Flood Frequency Analysis of Feilaixia in Beijiang River Based on Empirical Mode Decomposition Reconstruction by WANG Jin, LI Xiangjiao, WANG Huan

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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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Behind-the-Fence Generation Forecasting: A Batched Decomposition Framework by Gideon Egharevba, Arne Dankers, Hamidreza Zareipour

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Optical Fiber Vibration Signal Recognition Based on the EMD Algorithm and CNN-LSTM by Kun Li, Yao Zhen, Peng Li, Xinyue Hu, Lixia Yang

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Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning by Zhe Wang, Jiali Duan, Fengzhang Luo, Xiaoyu Qiu

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Flood Frequency Analysis of Feilaixia in Beijiang River Based on Empirical Mode Decomposition Reconstruction by WANG Jin, LI Xiangjiao, WANG Huan

Subjects: “…changing environment;consistency;hydrological frequency;design flood;empirical mode decomposition;EMD;Beijiang River;Feilaixia…”
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Optimized Sigmoid-Based Complete Ensemble Empirical Mode Decomposition for Energy Management in Hybrid Electric Vehicles by Lucas Jonys Ribeiro Silva, Marcio Von Rondow Campos, Thales Augusto Fagundes, Bruno Meneghel Zilli, Rodolpho Vilela Alves Neves, Ricardo Quadros Machado, Vilma Alves de Oliveira

Subjects: “…Empirical mode decomposition…”
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Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks by Pramit Pandit, Atish Sagar, Bikramjeet Ghose, Moumita Paul, Ozgur Kisi, Dinesh Kumar Vishwakarma, Lamjed Mansour, Krishna Kumar Yadav

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An Improved EMD Method Based on Utilizing Certain Inflection Points in the Construction of Envelope Curves by Mohsen KAFIL, Kaveh DARABI, Saeed ZIAEI-RAD

Subjects: “…empirical mode decomposition (EMD)…”
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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

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Short-Term Wind Speed Predicting Based on Legendre Multiwavelet Transform and GRU-ENN by Xiaoyang Zheng, Xiaoheng Luo, Dezhi Liu

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Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges by Alan G. Lujan-Olalde, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Martin Valtierra-Rodriguez, Jose M. Machorro-Lopez, Juan P. Amezquita-Sanchez

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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

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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)…”
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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…”
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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…”
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Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition by Feng Lin, Xu Li, Yang Su, Jun Yan

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Efficient impact load identification method using empirical mode decomposition by LIU Ling, YANG Xiaoming, ZHANG Li

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Predictive machine health monitoring using deep convolution neural network for noisy vibration signal of rotating machine using empirical mode decomposition by R. Pavithra, Prakash Ramachandran

Subjects: “…Empirical mode decomposition-intrinsic mode function…”
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A Novel Measurement Error Identification Framework for Multi-Branch CT System by Bolun Du, Yinglong Diao, Huan Wang, Xiujuan Zeng, Tong Liu, Yiyi Peng

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