Research on Safety Domain Modeling of Low-Voltage Distribution Substations Based on High-Dimensional Safety Region Analysis by Tianyi Guan, Zhuang Ma, Hao Ren, Qingshuai Yu, Rongxing Zhang, Zhenao Sun

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The Investigation of Nonlinear Time-Fractional Models in Optical Fibers and the Impact Analysis of Fractional-Order Derivatives on Solitary Waves by Muhammad Idrees Afridi, Tamanna Islam, Md Ali Akbar, Mohamed S. Osman

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Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

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Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method by ZHANG Dake, TANG Zhihui, WEI Yingjing, LI Taosheng, CAO Qinjian, SUN Bowen

“…The inherent complexities and non-linearities in their calculation processes, such as correlated variables, make traditional uncertainty analysis methods based on theoretical models and empirical formulas (e.g., the GUM (Guide to the Uncertainty in Measurement) method) unsuitable.PurposeThis study aims to demonstrate the application of the Monte Carlo (MC) method as an effective tool for evaluating measurement uncertainty in multi-sphere spectrometers, addressing the challenges posed by complex systems and non-linear problems.MethodsFirst of all, the MC method was employed to conduct probability density sampling of input variables to obtain the probability density distribution of the output variables. …”
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Comparative analysis of the methods for quantitative study of the perineuronal net microstructure by N.S. Lipachev, A.S. Dvoeglazova, A.A. Sadreeva, A.V. Aganov, M.N. Paveliev

“…This article summarizes the results of a comparative analysis of these two methods for quantitative study of the PNN microstructure using microscopy data on the medial prefrontal cortex in an experimental model of schizophrenia. …”
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Prediction of cardiac conduction disorders using the methods of mathematical analysis by S. Yu. Nikulina, A. A. Chernova, S. S. Tretyakova, D. A. Nikulin

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The efficiency analysis methods of decontamination of Fukushima Prefecture territory (Japan) by Dmitriy V. Aron

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COMPARATIVE ANALYSIS OF MONOCORTICAL AND BICORTICAL METHODS OF INSTALLING MINI-IMPLANTS by O.Yu. Rivis, V.S. Melnyk, M.V. Rivis, K.V. Zombor

“…Research methods. In order to study biomechanical characteristics of developed OMG mini-implant and bone tissue capacity during monocortical and bicortical installation, the finite element method (MSE) was used. …”
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Multi‐Model Assessment of PCA‐Informer Hybrid Model Against Empirical and Deep Learning Methods in TEC Forecasting by Yang Lin, Hanxian Fang, Die Duan, Ding Yang, Hongtao Huang, Chao Xiao, Ganming Ren

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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…Third, we analyze Covid-19 data in the US using a novel sampling method for alternating leastsquares. Moreover, we compare the algorithms with standard tensor decompositions concerning their interpretability, visualization, and cost analysis. …”
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THE ANALYSIS OF MOTION DETECTION METHODS IN DIGITAL VIDEO SURVEILLANCE SYSTEMS by Mikhail Grigorievich Babenko, Viktor Andreevich Kuchukov, Ekaterina Andreevna Kuchukova, Natalia Grigorievna Gudieva

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Analysis of sound field in dominicans’ church in Cracow by Magdalena Plewa

“…This publication presents the results of sound field analysis: simulation using ray method, finite element model below 200 Hz and real reverberation time measurements in band 125–8000 Hz, executed in Dominicans’ church in Cracow. …”
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Comprehensive analysis of supervised learning methods for electrical source imaging by Sarah Reynaud, Adrien Merlini, Douraied Ben Salem, François Rousseau

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Improvement of traffic flow management at intersections using cluster analysis and fuzzy logic by Shepelev Vladimir, Glushkov Aleksandr, Fadina Olga

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Right-brain utilization in pharmacists' dispensing processes: an eye-tracking analysis of efficiency and safety using error-induction models by Toshikazu Tsuji, Kenichiro Nagata, Masayuki Tanaka, Shiori Iwane, Shigeru Hasebe, Yuto Nishiyama, Nana Yoshikawa, Hiroyuki Watanabe, Shigeru Ishida, Takeshi Hirota, Ichiro Ieiri, Mayako Uchida

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Psychometric validation of the 20-item K-DOCS in Chinese adolescents: a multi-method approach by Cui-Hong Cao, Xue-Lian Wang, Yin-Ping Ji, I-Hua Chen

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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

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The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

“…In this study, we explore the potential of machine learning (ML) models after different text representation methods on the balanced IMDB dataset, which is widely regarded as a gold standard in sentiment analysis, one of the Natural Language processing (NLP) tasks. …”
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Numerical investigation of GFRP bars contribution on performance of concrete structural elements by Pegah Aghabozorgi, Alireza Khaloo, Sina Hassanpour

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Experience in applying large language models to analyse quantitative sociological data by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

Subjects: “…large language models…”
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