Dynamics-Guided Support Vector Machines for Response Analysis of Steel Frame Under Sine Wave Excitation by Yao Wang, Huaiman Li

“…Furthermore, a solution algorithm combining DG-SVM with static condensation and mode decomposition methods is developed to enhance computational efficiency for the analysis of multi-degree-of-freedom systems. …”
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Gearbox fault diagnosis method based on optimized VMD-NLM with 1DDRSN by WAN Zhiguo, ZHAO Wei, WANG Zhiguo, DOU Yihua

“…ObjectiveAiming at the problem of poor accuracy of gearbox fault diagnosis under noise interference, a new fault diagnosis method for gearboxes based on the denoising methods of optimized variational modal decomposition (VMD）and non-local means (NLM) was constructed, combined with a one-dimensional deep residual shrinkage network (1DDRSN).MethodsFirstly, the parameters in the VMD were automatically optimized using the subtractive average-based optimization (SABO); secondly, each intrinsic mode function (IMF） after the decomposition of the VMD was filtered using sample entropy, and the noise-containing components were subjected to the NLM denoising and reconstruction; then, a residual network that combines the attention mechanism with soft thresholding was introduced to model 1DDRSN; finally, the denoised and reconstructed signals were inputted into the 1DDRSN for fault diagnosis and identification. …”
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Model of decomposition of the native absorption spectrum of Porphyridium purpureum culture by D. N. Chernyshev, V. S. Klochkova, A. S. Lelekov

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Modelling and Mechanical Characterization of a Metamaterial Inspired by the Spinodal Decomposition by Barbara Mandolesi, Christian Iandiorio, Valerio G. Belardi, Francesco Vivio

“…The diffusion process of the binary mixture is modeled using the Cahn–Hilliard equation, which is typically approached with a statistical method (superimposition of Gaussian random fields) that is well founded only for its initial stages. …”
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Modeling Electromechanical Overcurrent Relays Using Singular Value Decomposition by Feng-Jih Wu, Chih-Ju Chou, Ying Lu, Jarm-Long Chung

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Effects of termites growth on litter decomposition: a modeling approach by Abdourhimou Amadou Issoufou, Idrissa Soumana, Garba Maman, Souleymane Konate, Ali Mahamane

“…We aimed at building a termite population growth model which could deal with one substrate. Methods Our model divides the decomposition/growth process at the population level. …”
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A Novel Computational Framework for Time-Fractional Higher-Order KdV Models: CLADM-Based Solutions and Comparative Analysis by Priti V. Tandel, Anant Patel, Trushitkumar Patel

“…This study applies the Conformable Laplace Adomian Decomposition Method (CLADM) to solve generalized time-fractional Korteweg–de Vries (KdV) models, including seventh- and fifth-order models. …”
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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

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Micro-firms’ productivity growth in Poland before and during COVID-19: Do industry and region matter? by Emilia Gosińska, Mariusz Górajski, Magdalena Ulrichs

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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

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PV Power Short-Term Forecasting Method Based on VMD-GWO-ELMAN by Na ZHANG, Qiang REN, Guangchen LIU, Liping GUO, Jingyu LI

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Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network by Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang

“…In comparison with the traditional infrared spectral preprocessing method and regression model, the proposed prediction model has a coefficient of determination (R²) of 97.12% and 95.99% for the prediction set and validation set, respectively, which is 4.96% higher than that of the traditional model. …”
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A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks by Pei Wang, Xue Dan, Yong Yang

“…In order to overcome low precision problem in long-term prediction for lithium-ion battery capacity, this article proposes a multi-scale fusion prediction method based on ensemble empirical mode decomposition and nonlinear autoregressive models neural networks. …”
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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

“…Finally, a simulation model of a dual power supply system is used to verify the proposed method, and the simulation results show that the proposed method has high accuracy and precision in positioning and can precisely locate the voltage sag source.…”
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Key agreement method based on multi-dimensional advantage distillation over mmWave MIMO channels by MAO Dandan, WANG Ning, ZHEN Jina, ZHANG Ning, HUANG Kaizhi

“…To achieve efficient physical layer secure secret key agreement in millimeter wave (mmWave) multiple input multiple output (MIMO) communication systems, a key agreement method was proposed based on multi-dimensional advantage distillation (AD) exploiting the multi-dimensional characteristics of mmWave MIMO channel parameters. …”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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Modified Non-Negative Constraint Damping Method for T2 Spectrum Inversion of Nuclear Magnetic Resonance by LEI Xin, LIAO Xinkai, LIAO Lidan

“…Numerical examples show that the new algorithm has better and more stable inversion effect than the modified truncated singular value decomposition method and damping method, especially in the case of low signal-to-noise ratio, the new algorithm has more obvious advantages, and can further optimize the NMR logging technology.…”
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Research on Numerical Calculation Methods for Modelling the Dynamics of Diesel Engine Crankshaft System Substructures by Zhongxu Tian, Zengbin Sun, Yun Zhou, You Zhou

“…These complexities present challenges in achieving comprehensive and efficient dynamic modelling and analysis. This paper presents a dynamic modelling and numerical computation method for the crankshaft system based on the substructure dynamic model to address this. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…This paper proposed a parameter compression algorithm based on low-rank decomposition for the You Only Look Once (YOLO) series of object detection models, aiming to overcome the limited versatility of current lightweight treatment methods for these models. …”
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Perturbational Decomposition Analysis for Quantum Ising Model with Weak Transverse Fields by Youning Li, Junfeng Huang, Chao Zhang, Jun Li

“…This work presents a perturbational decomposition method for simulating quantum evolution under the one-dimensional Ising model with both longitudinal and transverse fields. …”
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