Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. …”
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Structural Damage Early Warning Method of Quayside Container Crane Based on Fuzzy Entropy Ratio Variation Deviation by Jiahui Liu, Jian Zhao, Dong Zhao, Xianrong Qin

“…The efficacy of the proposed early warning method is validated through numerical experiments and engineering case studies. …”
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Study on Electric Power Fittings Identification Method for Snake Inspection Robot Based on Non-Contact Inductive Coils by Zhiyong Yang, Jianguo Liu, Shengze Yang, Changjin Zhang

“…This method, unaffected by light intensity changes, uses machine learning to classify the magnetic induction electromotive force signals around the fittings. …”
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HarSoNet: a two-stage point cloud registration method integrating soft and hard matching by Qiongdan Huang, Jiapeng Wang, Jiejing Han, Shilin Kang

“…However, these methods are highly sensitive to the correspondences generated during the coarse-matching stage, where low-quality correspondences can lead to complete registration failure. …”
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Indirect Measurement Method of Compression Cycle Parameters of Liquid-driven Reciprocating Hydrogen Compressor Based on Vibration Analysis by Zhipeng CHEN, Zhiliang LIU, Xiaonan ZHANG, Xuebing ZENG, Xingwen JIANG, Xiaoming GU

“…It develops and validates a novel non-direct measurement method that enhances the reliability and efficiency of parameter extraction in liquid-driven reciprocating hydrogen compressors, which are crucial for operational efficiency and diagnostic accuracy in hydrogen fuel systems.Methods The proposed method integrates Variational Time-Domain Decomposition (VTDD), Hilbert transform, and autocorrelation functions to enhance signal analysis and parameter extraction in noisy environments. …”
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Online Task Switching and Scheduling Method for Attitude–Orbit–Shape-Distributed Control of Large Space Ring Structures by Shuo Han, Miao Wang, Cong Xue, Weiran Yao, Guanghui Sun

“…The objectives of attitude–orbit–shape control are decomposed into attitude adjustment, orbit change, and shape maintenance tasks through a task decomposition algorithm. Task value estimation models are designed to guide a greedy task allocation of actuators. …”
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Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting by Abobaker M. Jaber, Mohd Tahir Ismail, Alsaidi M. Altaher

“…We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). …”
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Fault Feature Research of Rolling Bearing based on Empirical Mode Decomposition and Principle Component Analysis by Zheng Xin

“…It is proposed that a fault diagnosis method for rolling bearing based on empirical mode decomposition（ EMD） and multivariate statistical process control（ MSPC）,the Hilbert- Huang transformation and principal component analysis（ PCA） are combined effectively in this method. …”
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Prediction of the Remaining Useful Life of Lithium–Ion Batteries Based on Mode Decomposition and ED-LSTM by Bingzeng Song, Guangzhao Yue, Dong Guo, Hanming Wu, Yonghai Sun, Yuhua Li, Bin Zhou

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A new micro HATI second order preserving for transient dynamics by Yvan Le Nôtre, Michael Brun, Clement Grenat, Anthony Gravouil

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Short-term Wind Speed Prediction Based on Wavelet Packet Decomposition and BP Neural Network by WANG Ning, LUO Rubin, LIAO Jun, LI Jun, JIANG Yi, YANG Zechuan, YUAN Junjie

“…The simulation results show that the average absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) of the short-term wind speed prediction model based on wavelet packet decomposition are lower than those of other short-term wind speed prediction methods. …”
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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. …”
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Simultaneous Incomplete Traffic Data Imputation and Similarity Pattern Discovery with Bayesian Nonparametric Tensor Decomposition by Yaxiong Han, Zhaocheng He

“…BNPTD is a hierarchical probabilistic model, which is comprised of Bayesian tensor decomposition and Dirichlet process mixture model. …”
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Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…In order to avoid the non-convexity introduced by the nonlinear between the frequency offsets and the channels, firstly, tensor decomposition was used to model the received signal from the perspective of the preamble sequence, channel, and frequency offset. …”
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Prediction of Dissolved Gas Concentration in Transformer Oil Based on Hybrid Mode Decomposition and LSTM-CNN by Tie CHEN, Zhifan ZHANG, Xianshan LI, Yifu CHEN, Hongxin LI

“…Predicting the concentration of dissolved gas in oil can help to know in advance the operation trend of transformers. A prediction method is thus proposed based on hybrid mode decomposition and LSTM-CNN network to achieve accurate gas concentration prediction. …”
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Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network by Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng

“…Due to the significant dynamical and non-stationary characteristics of aerodynamic noise, it is challenging to precisely predict its temporal behavior. Here, we propose a method combining variational mode decomposition (VMD) and echo state network (ESN) to accurately predict the time series of aerodynamic noise induced by flow around a cylinder. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…For outlier detection, statistical methods were employed, followed by a comparative evaluation of three models—LSTM, LSTM-KAN, and Seq2Seq-Attention—for multi-step wind speed forecasting over horizons ranging from 1 to 12 h. …”
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SAR Images Despeckling Using Subaperture Decomposition and Non-Local Low-Rank Tensor Approximation by Xinwei An, Hongcheng Zeng, Zhaohong Li, Wei Yang, Wei Xiong, Yamin Wang, Yanfang Liu

“…To solve this problem and improve the quality of SAR images, a speckle noise suppression method based on subaperture decomposition and non-local low-rank tensor approximation is proposed. …”
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Ex-Ante and Ex-Post Decomposition Strategy for Ultra-Short-Term Wind Power Prediction by Peng Lu, Zhuo Li, Lin Ye, Ming Pei, Yingying Zheng, Yongning Zhao

“…Secondly, in the error correction stage, the errors produced by the preliminary prediction model are corrected by persistence methods to compensate for final prediction errors. …”
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Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction by Yinuo Sun, Zhaoen Qu, Zhuodong Liu, Xiangyu Li

“…Traditional statistical and machine learning methods struggle to capture complex multi-scale temporal patterns and long-range dependencies in emission data. …”
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