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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Inequity in access to medications among communities in Eastern Ethiopia: a decomposition analysis by Dumessa Edessa, Fekede Asefa Kumsa, Girmaye Dinsa, Lemessa Oljira

“…Finally, we used RIF’s regression decomposition method to identify the significant contributors to the inequity. …”
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A High-Resolution Spectral Analysis Method Based on Fast Iterative Least Squares Constraints by Yanyan Ma, Haixia Kang, Weifeng Luo, Yunxiao Zhang, Lintao Luo

“…High-resolution time–frequency decomposition is one of the key methods for identifying sedimentary layers. …”
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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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Decomposition Residual Odor Volatiles in Soil from a West Texas Environment by Jennifer Raymer, Jorge Ulises Rojas-Guevara, Paola Alexandra Prada-Tiedemann

“…After removal, the headspace of soil samples, taken from under the cadaver decomposition island (CDI), were analyzed once per week for a period of 4 weeks using solid phase micro extraction- gas chromatography/mass spectrometry (SPME-GC/MS) as the instrumental analysis method. …”
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Measuring the credit gap: a forecast combination approach by N. Kundan Kishor, Nam Nguyen

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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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A decomposition resolution approach for a production-inventory-distribution-routing problem by William de Paula Ferreira, Leonardo Carlos da Cruz, Michael David de Souza Dutra

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Color Consistency Anime Style Transfer Based on Hybrid Structural Decomposition Network by Jun Zhang, Yunhua Zhang

“…Experimental results demonstrate that our proposed model not only visually generates anime characters with realistic styles but also achieves superior performance in terms of Style FID and Semantic FID compared with state-of-the-art methods.…”
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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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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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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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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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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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A Gaussian Variogram‐Based Model of Total Electron Content in the Regional Ionosphere of China by Ang Liu, Zishen Li, Ningbo Wang, Ang Li, Zhouyu Zhang, Yunlong Zhang

“…The regional ionospheric model is then constructed by introducing an additional stochastic term, named adjusted Spherical Harmonics Adding KrigING method (SHAKING), in which the stochastic Vertical Total Electron Content estimated using Kriging interpolation based on Ionospheric Variogram Model Parameters (IVMP) predict model. …”
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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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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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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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