Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…The ablation study was implemented to verify the effectiveness of the proposed signal decomposition method and deep attention modules. The performance of the model based on MOCOA-VMD achieves the best accuracy of 94.35%, much higher than the model constructed by modules of EEMD, VMD and CNN. …”
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Research on optimal selection of runoff prediction models based on coupled machine learning methods by Xing Wei, Mengen Chen, Yulin Zhou, Jianhua Zou, Libo Ran, Ruibo Shi

“…The study first selects artificial neural network (ANN) and support vector machine (SVM) as the base models. Then, it evaluates and selects from three time-series decomposition methods. …”
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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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Multiphysical model of CMUT array based on modal decomposition and the Rayleigh integral by A.E. Biriukov, A.M. Korsunsky

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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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An Hourly Prediction Model of Relativistic Electrons Based on Empirical Mode Decomposition by Yedong Qian, Jianwei Yang, Hua Zhang, Chao Shen, Yewen Wu

“…Moreover, we use this method to forecast daily fluence to validate empirical mode decomposition. …”
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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…Unlike most fixed-length single-feature mine pressure prediction models, this model first introduces the Empirical Mode Decomposition (EMD) method to separate periodic and trend components from the mine pressure signals. …”
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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. …”
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Evolution of CFD numerical methods and physical models towards a full discrete approach by Caltagirone, Jean-Paul

“…The physical models and numerical methodologies of Computational Fluid Dynamics (CFD) are historically linked to the concept of continuous medium and to analysis where continuity, derivation and integration are defined as limits at a point. …”
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THE DEGENERATE STATE RECOGNITION METHOD OF ROLLING BEARING BASED ON LCD AND GMM-VPMCD HYBRID MODEL by LIU Jibiao, CHENG Junsheng, LIU Yanfei

“…In this paper,LCD,VPMCD and Gaussain mixture model（ GMM） are combined. Furthermore,the degenerate state recognition method of rolling bearings based on LCD and GMM-VPMCD hybrid model is proposed. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…The paper proposes a methane outburst volume-prediction and early-warning method. This method is based on a secondary decomposition and improved TSMixer model. …”
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Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

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Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation by Jingwei Wang, Zhanwen Wang, Lida Liu, Yuntian Chen

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Approximate Analytic Solutions for the Two-Phase Stefan Problem Using the Adomian Decomposition Method by Xiao-Ying Qin, Yue-Xing Duan, Mao-Ren Yin

“…An Adomian decomposition method (ADM) is applied to solve a two-phase Stefan problem that describes the pure metal solidification process. …”
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Research on Feature Extraction Method of Engine Misfire Fault Based on Signal Sparse Decomposition by Canyi Du, Fei Jiang, Kang Ding, Feng Li, Feifei Yu

“…To address these problems, this paper combines the priority of signal sparse decomposition and engine finite element model to research a novel feature extraction method for engine misfire diagnosis. …”
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Analysis of Aerodynamic Characteristics of Rotating Detonation Turbine Based on Proper Orthogonal Decomposition Method by Meiting Ling, Ting Zhao, Wenguo Luo, Jianfeng Zhu, Yancheng You

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Gaussian decomposition method for full waveform data of LiDAR base on neural network by Jie Liu, Xinjie Zhang, Jing Lv, Xinyu Li, Libin Du

“…The method has significant potential for application in the field of mapping, 3D modeling.…”
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Modeling within-host Chikungunya virus dynamics with the immune system using semi-analytical approaches by Morufu Oyedunsi Olayiwola, Akeem Olarewaju Yunus, Adedapo Ismaila, Alaje, Joseph Adeleke Adedeji

“…The Laplace Adomian Decomposition Method (LADM) is used to solve the model. …”
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Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition by Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmad, Md. Khademul Islam Molla

“…The simulation results show that the MEMD-ARMA-based method performs better than the other methods.…”
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