Influence of Geometric Non-Linearities on the Mixed-Mode Decomposition in Asymmetric DCB Samples by Jorge Bonhomme, Victoria Mollón, Jaime Viña, Antonio Argüelles

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Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion by Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu

“…In this paper, a Bayesian robust tensor decomposition method (MBRTF) based on the Markov chain Monte Carlo (MCMC) algorithm is proposed. …”
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Simple Fermionic backflow states via a systematically improvable tensor decomposition by Massimo Bortone, Yannic Rath, George H. Booth

“…This ansatz naturally encodes many-electron correlations without the ordering dependence of other tensor decompositions. We benchmark its performance against standard models, demonstrating improved accuracy over comparable methods in Fermi-Hubbard and molecular systems and competitive results with state-of-the-art density matrix renormalization group (DMRG) in ab initio 2D hydrogenic lattices. …”
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Measuring the credit gap: a forecast combination approach by N. Kundan Kishor, Nam Nguyen

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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

“…Generalizations of matrix decompositions to multidimensional arrays, called tensor decompositions, are simple yet powerful methods for analyzing datasets in the form of tensors. …”
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Preparation characterization and non-isothermal decomposition kinetics of different carbon nitride sheets by M. Elshafie, S.A. Younis, P. Serp, E.A.M. Gad

“…The energy of activation Ea and the frequency factor A. Decomposition pathway were investigated using four mathematical methods and 35 mechanisms (g(α)) models. …”
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Socioeconomic inequalities in cervical cancer screening practices in Vietnam: a decomposition analysis by Thi Bich-Van Nguyen, Kim-Duy Vu, Lam Tung Ngoc Cu, Minh Hai Nguyen Ngoc, Hoang-Dung Ho

“…The study utilised decomposition analysis to unravel the contributions of various determinants to socioeconomic disparities in screening uptake, employing Poisson regression with robust variance models to explore the association between socioeconomic status, quantified through Wealth Index quintiles, and screening practices. …”
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An improved deep learning approach for speech enhancement by Malek Miled, Mohamed Anouar Ben Messaoud

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Single X-ray Projection Material Decomposition using a Mesh Projector by Fleur Linsen, Domenico Iuso, Jan Sijbers

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Fuzzy Galaxies or Cirrus? Decomposition of Galactic Cirrus in Deep Wide-field Images by Qing Liu, Roberto Abraham, Peter G. Martin, William P. Bowman, Pieter van Dokkum, Shany Danieli, Ekta Patel, Steven R. Janssens, Zili Shen, Seery Chen, Ananthan Karunakaran, Michael A. Keim, Deborah Lokhorst, Imad Pasha, Douglas L. Welch

“…In this paper, we present a technique for the photometric characterization of Galactic cirrus based on (1) extraction of its filamentary or patchy morphology and (2) incorporation of color constraints obtained from Planck thermal dust models. Our decomposition method is illustrated using a ~10 deg ^2 imaging data set obtained by the Dragonfly Telephoto Array, and its performance is explored using various metrics that characterize the flatness of the sky background. …”
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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…To achieve this, a novel hybrid method is proposed that integrates the Gazelle Optimization Algorithm (GOA), Feature Mode Decomposition (FMD), and a Transformer-based classification model. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…This study introduces the Slope Adaptive Signal Decomposition (SASD) algorithm, a novel method for extracting enhanced intrinsic machine health indicators from vibration data. …”
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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

“…Then, the variational mode decomposition method is used to decompose the photovoltaic power into several subsequences, and the permutation entropy is calculated and reconstructed into trend, low-frequency, and high-frequency terms. …”
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PCA-Kriging-Based Oscillating Jet Actuator Optimization and Wing Separation Flow Control by Qixiang Sun, Wanbo Wang, Jiaxin Pan

“…In the present study, the PCA method is used for the modal decomposition of the velocity distribution. …”
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Advancements in noise reduction for wheel speed sensing using enhanced LSTM models by Shih-Lin Lin

“…Abstract This research presents an Enhanced Long Short-Term Memory (LSTM) deep learning model for robust noise reduction in automotive wheel speed sensors. …”
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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…Aiming at the problems of nonlinearity, high dynamics, and low prediction accuracy of surrounding rock deformation, this article proposes a time series prediction method based on the sparrow search algorithm (SSA)-variational mode decomposition (VMD)-gated recurrent unit (GRU) deep learning model. …”
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Optimization Method for Combination of Residual Current Protection and Coincidence Brake Logic in a Low-Voltage Distribution System by XU Han, ZHU Sanli, ZHANG Tengfei, CHEN Shu, LIU Mingxiang

“…The simulation analysis shows that the error of the classification results of the model after seven iterations is only 9.49×10-9 with a correlation coefficient of 0.99, confirming the feasibility of the proposed method.…”
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MODELS AND METHODS FOR SYNTHESIS OF MANUFACTURING PROCESS STRUCTURE FOR MACHINING AT FLOW LINE OF STATIONARY MACHINES by N. N. Guschinsky, O. Battaia, A. Dolgui

“…A problem of design of a flow line composed of stationary machines is considered. Mathematical models and methods for synthesis of manufacturing process structure are proposed. …”
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A robust low‐rank tensor completion model with sparse noise for higher‐order data recovery by Min Wang, Zhuying Chen, Shuyi Zhang

“…Abstract The tensor singular value decomposition‐based model has garnered increasing attention in addressing tensor recovery challenges. …”
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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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