Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil. …”
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Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way. by Wu Kai, Lu Zhijiang, Bai E

“…Through computational analysis, this algorithm effectively overcomes the weak local search capability of NAGA-II and efficiently solves multi-objective problems. …”
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Athlete Rehabilitation Evaluation System Based on Internet of Health Things and Human Gait Analysis Algorithm by Chen Lianzhen, Zhu Hua

“…In addition, through the study of the athlete’s human body modeling and movement process, a human gait analysis algorithm that can be applied to multiple sports is proposed, and the gait parameter analysis and algorithm reliability research are carried out through simulation analysis. …”
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Monitoring Personalized Trait Using Oscillometric Arterial Blood Pressure Measurements by Young-Suk Shin

“…Monitoring of personalized trait in Oscillometric Arterial Blood Pressure Measurements (OABPM) uses the Linear Discriminant Analysis (LDA) algorithm. The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. …”
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Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing by Xiaoliang Yuan

“…Therefore, in order to give full play to the role of edge computing and promote the controllability of behavioral financial market volatility, this paper used the calculation task load model algorithm, time slot length optimization algorithm, asymmetric thick-tail random fluctuation, and volatility analysis application algorithm to study the subject of how to learn to reduce financial market volatility, summarizing and discussing the experiment. …”
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Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology by Zhen Dai, Shouyu Liang, Yachen Tang, Jun Tan, Guangyi Liu, Qinyu Feng, Xuanang Li

“…Based on the node-breaker graph model, topological error identification was conducted, and a fast topological analysis optimization algorithm, considering component functionality, was applied to update the bus-branch graph model, facilitating graph-based state estimation. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Our methodology involves a rapid global sensitivity analysis (GSA) algorithm developed to determine a set of parameter space directions that maximize antenna response variability. …”
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Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process by Zhu Li, Khalil Ur Rehman, Liu Wenhui, Faiza Atique

“…To study the influence of selecting auxiliary variables on soft sensor modeling, the successive projection algorithm (SPA) is used to determine the characteristic variables and compare them with grey relation analysis (GRA) algorithm. Finally, the Excel spreadsheet data was called by MATLAB programming, and the established SPA-GWO-SVR soft sensor model predicted crucial biological variables. …”
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The influence of pedagogical reflection on design educational and professional plans of future teachers. by M. A. Golovchin

“…The algorithm was proposed for assessing the level of formation of pedagogical reflection among graduates based on the use of factor analysis.  The  algorithm  was  tested  on  data  from  a  questionnaire  survey  conducted  in  2023  by  the Voluntary Research Center of the Russian Academy of Sciences (RAS) among graduates studying to become teachers in the Vologda region. …”
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A Multistage Detection Framework Based on TFA and Multiframe Correlation for HFSWR by Zongtai Li, Gangsheng Li, Ling Zhang, Lanjun Liu, Q. M. Jonathan Wu

“…This study introduces an improved time-frequency analysis (TFA) algorithm to enhance the features in single-frame detection. …”
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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study by Yanbiao Liao, Chang Liu, Tianyuan Xiong, Mingyue Zhao, Wen Zheng, Yuan Feng, Yijian Li, Yuanweixiang Ou, Zhengang Zhao, Yong Peng, Jiafu Wei, Qiao Li, Wei Meng, Xiaojing Liu, Mao Chen

“…Influential metabolites were identified by integrating the univariate test, multivariate analysis, and weighted gene coexpression network analysis (WGCNA) algorithm. PLS-DA analysis revealed a significant extremely early (within 30 minutes after TAVR) alterations of metabolites in the ascending aorta, coronary sinus, and peripheral vein. …”
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