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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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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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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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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Thermal characteristics of commercially manufactured expanded polystyrene composite lightweight concrete by Niluka Athukorala, M. Thishan R. Jayasinghe, Andrew Shea

“…This study establishes the thermal characteristics of commercially manufactured expanded polystyrene (EPS) composite lightweight concrete and investigates the results of a range of laboratory test methods, which are then compared with real-world performance. …”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…The result was the best model based on the Quality Loss Function, because the method has the biggest determination coefficient value is 99,97% where the results is better than GRA with PCA. …”
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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

“…Abstract The prediction of corrosion resistance in High-entropy alloys (HEAs) faces challenges due to previous machine learning methods not fully capturing the interdependencies between composition, processing, and crystal structure. …”
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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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On quantifying dynamic behavior of architected metal/polymer TPMS/lattices-based interpenetrating phase composites by K. B. Shingare, Andreas Schiffer, Kin Liao

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Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang, Wende Yan

“…The results show the following: (1) The higher the mass concentration of organic matter, the higher the content of supercritical carbon dioxide and supercritical nitrogen in thermal fluids, and the lower the content of supercritical water. (2) The higher the temperature and pressure, the higher the thermal fluid yield, and the higher the organic mass concentration, the lower the thermal fluid yield. (3) The component fitting model conforms to the power function relationship, and the coefficient of determination R² is greater than 0.9; the yield fitting model conforms to the modified inverse linear logarithmic function relationship, the determination coefficient R² is greater than 0.8, and the fitting degree is high. (4) The ratio between the actual injection rate of thermal fluids in the mine field and the molecular simulated thermal fluid yield is the ratio of organic matter mass in the platform thermal fluid generator and organic matter mass in the simulated box. (5) Based on the composition and yield control model, combined with the simulation of the ratio relationship between yield and injection rate in the field, a collaborative optimization method of thermal fluid composition and injection rate was established. …”
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An improved deep learning approach for speech enhancement by Malek Miled, Mohamed Anouar Ben Messaoud

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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…Cloud manufacturing (CMfg) is a new service-oriented smart manufacturing paradigm, and it provides a new product development model in which users are enabled to configure, select, and utilize customized manufacturing service on-demand. …”
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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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Study on the Composite EM Scattering from Sea Surface with Ship Based on Kd-Tree Accelerated Hybrid Model by Ye Zhao, Xin-Cheng Ren, Peng-Ju Yang

“…A hybrid model based on the geometrical optics and physical optics (GO-PO) method and facet-based asymptotical model (FBAM) for the composite EM scattering from sea surface with ship has been previously developed. …”
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Prediction of the composition of prolonged release tablets based on 4,4'-(propandiamido) sodium dibenzoate using the SeDeM method by Ju. M. Kotsur, Ju. M. Ladytko, I. A. Narkevich, E. V. Flisyuk

“…Prediction of the compositions of matrix tablets based on sodium 4,4'-(propanediamido)dibenzoate with prolonged release, obtained by direct compression using the method of mathematical modeling SeDeM.Materials and methods. …”
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Response Surface-Based Finite Element Model Updating of Steel Box-Girder Bridges with Concrete Composite Decks by Cheng-Qi Xiong, Zhi-Wen Zhu, Jin Jiang

“…The obtained updated finite element model gives results closer to the measured modalities, which provides a more reasonable bridge model for seismic analysis of bridges located in strong seismic zones and also demonstrates the effectiveness of the finite element analysis and the model updating method based on the response surface method in this study.…”
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MATHEMATICAL MODELING OF THE PROCESS OF SYNTHETIC SILUMINS PRODUCTION USING THE METHOD OF REGRESSION ANALYSIS by I. V. Rafalskij, A. V. Arabej

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Design and analysis of parameter optimization on development of corn straw fiber composition by ultrasound with alkalization pretreatment by SHEN Weizheng, QU Tengyu, WEI Xiaoli, MU Yingxin

“…Focusing on the defects in fiber structure of corn stalk feed, we proposed a novel production method of ruminant animal fodder by co- treatment with ultrasound and alkalization. …”
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An innovative approach to plastic mulch film modeling based on the discrete element method by Zhengyang Zhu, Binghui Li, Zige Xu, Yi Xie, Xinhua Zhu

“…This study proposed an innovative discrete element model construction method for the plastic mulch film based on triangular elements. …”
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