Numerical Simulation of Surface Thermal Analysis and Cooling Optimization of Continuous Casting Rolls by Guangwei Cheng, Ningxia Yin, Qiaoxin Zheng, Yuming Qiu, Junqi Chen

“…In many steel mills, the working life of continuous casting machine rollers is relatively short, requiring frequent replacement and negatively impacting production efficiency. …”
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Optimized design and performance evaluation of long-pressure-short-extraction ventilation and dust removal system based on the Coanda effect by Xinguo Wang, Jinbo Zhao, Yufu Li, Zhibin Li

“…Through numerical simulations, experimental validation, and machine learning techniques, the study develops a comprehensive system to enhance dust control performance. …”
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Multi-Physics Simulation of 6/4 Switched Reluctance Motor by Finite Element Method by Renata R. C. Reis, Marcio L. M. Kimpara, João O. P. Pinto, Babak Fahimi

“…First, the main geometrical parameters of the motor were calculated and then static and dynamic simulations were conducted to analyze the motor electromagnetic performance. …”
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Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

“…The article is devoted to the formation of an array of data for the construction of an artificial neural network, designed to search for relationships between social and economic parameters of the development of regions of the Russian Federation. …”
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On the Development of a Neural Network Architecture for Magnetometer-Based UXO Classification by Piotr Ściegienka, Marcin Blachnik

“…In this study, we design and evaluate a custom Convolutional Neural Network (CNN) for UXO classification and compare it against classical machine learning baseline, including Random Forest and kNN. …”
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Modeling the Impact of Climate Change on Soil Health Using Predictive Analytics by Alsalami Zaid, Mandapati A. H. A. Hussein, Sundari Venkata Rama

“…For modeling the key soil parameters (pH, organic matter, and moisture content), the proposed system uses machine learning techniques, namely Linear Regression, Support Vector Machine (SVM), Neural Networks, etc. …”
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Effect of Moderate Intensity Aerobic Exercise on Fertility Hormones in Male Obese Individual in Nnewi, Nigeria by Ifeoma Joy Onuora, Samuel Chukwuemeka Meludu, Chudi Emmanuel Dioka, Chikaodili Nwando Obi-Ezeani

“…Subsequently, 18 male obese subjects were randomly selected and subjected to a 12-week aerobic training program using a total cross bar machine, three sessions weekly, which consisted of a 10–15 min warm-up and 35–50 min total cross bar machine exercise. …”
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基于模糊约束的同步带传动参数的多目标优化设计 by 何嘉洲, 唐伟强

“…Using multi-objectives fuzzy optimization method for the sample of timing belt drive of beverage filling machine, based on the Fuzz and random for timing belt drive parameters and considering the indefinite character of the value of design parameters, the mathematics model of fuzzy design optimization satisfied with the conditions of transmission property is set up, and the optimization and result analysis are given.…”
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Hobbing Error and Adjustment of Worm-gear Tooth Surface by Lu Jianwei, Chen Ningxin

“…At present,there are two different kinds of worm-gear hobs in domestic: outer diameter increment hob and pitch diameter increment hob.The outer diameter increment hob has been eliminated a long time ago in the most of the developed industrial countries because of its short service life.However,the pitch diameter increment hob needs to set mounting tilt angle and manufacturing center distance that differs from nominal center distance during hobbing.And following the hob reshaping that reduces the hob pitch diameters,the tilt angle and manufacturing center distance have to be re-calculated and adjusted.Any incorrectness of those two settings will cause worm-gear tooth surface error.The calculation equations of tilt angle and manufacturing center distance are introduced,the error of worm-gear tooth surface caused by the above incorrectness machining parameters settings are analyzed.Two calculation examples,one for single head worm-gear and another for multi-starts of worm are given readers to reveal the distribution of the worm gear tooth surface error,the basis for correcting the machining tool parameter error is provided.…”
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Microstructure Evolution of Dilute Mo-Re Alloy Tubes under Biaxial Stress by JIANG Wei, WANG Weijun, ZHANG Guodong, LEI Huazhen, YANG Wen, GAO Jin

“…During the deformation process, the lattice parameter increases and some Mo crystal structure is destroyed. …”
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A serum biomarker panel and miniarray detection system for tracking disease activity and flare risk in lupus nephritis by Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Weihang Zhu, Richard Williams, Jing Ning, Ramesh Saxena, Tianfu Wu

“…In this study we aim to develop a biomarker-panel based point-of-care system for LN.MethodsImmunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…Notably, age and WBC parameters demonstrated threshold effects, where optimal cutoff values enabled re-calibration of single-variable predictive scores. …”
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Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong by William Ka Kei Wu, Tong Liu, Ian Chi Kei Wong, Qingpeng Zhang, Jiandong Zhou, Sharen Lee, Keith Sai Kit Leung, Kamalan Jeevaratnam, Wing Tak Wong

“…The predictive and modeling capabilities of machine/deep learning survival analysis achieved more accurate predictions.…”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Machine learning provides effective solutions for this challenge. …”
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NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil by Gaia Meoni, Leonardo Tenori, Francesca Di Cesare, Stefano Brizzolara, Pietro Tonutti, Chiara Cherubini, Laura Mazzanti, Claudio Luchinat

“…This study introduces a novel approach that combines machine learning with 1H NMR spectral analysis to correlate analytical data for predicting essential qualitative parameters in olive oil. …”
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Identification of dominant instability modes in power systems based on spatial‐temporal feature mining and TSOA optimization by Miao Yu, Jianqun Sun, Shuoshuo Tian, Shouzhi Zhang, Jingjing Wei, Yixiao Wu

“…Using the IEEE 10‐machine and 39‐node system as an example for simulation, the results validate that the proposed method exhibits significant advantages in terms of accuracy and applicability compared with other machine learning methods.…”
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Analysis of Building Platform Inhomogeneities in PBF-LB/M Process on Alloy 718 by Niccolò Baldi, Lokesh Chandrabalan, Marco Manetti, Alessandro Giorgetti, Gabriele Arcidiacono, Paolo Citti, Marco Palladino

“…It is well known that the behavior of the process directly impacts the quality of the materials and thereby induces inhomogeneities on the powder bed on the building platform. Several parameters can be tuned to keep the process under control, getting rid of process uncertainty and distinguishing aspects of a specific machine model. …”
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EFFECTIVE HEAT INSULATION OF COMPLICATED FORM FOR HEAT AGGREGATES OF METALLURGY by E. V. Toropov, D. N. Makarov, E. E. Toropov

“…The matters of determination of rational parameters of isolation coverings for heat aggregates, functioning in metallurgical, machine-building and industrial complexes, are examined in the article. …”
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Forecasting the Shredder Output Volume Flow Towards Dynamic Control in Waste Management by Tatjana Lasch, Jason Imhof, Lisa Kandlbauer, Renato Sarc, Karim Khodier

“…To establish dynamic control in waste treatment machines, sensors are required to record the necessary variable parameters. …”
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Intelligent Classification of Stable and Unstable Slope Conditions Based on Landslide Movement by Long Tsang, Ali Ghorbani, Seyed Mohammad Hossein Khatami, Dmitrii Ulrikh

“…In this research, different machine learning-based approaches were used to analyze and manage this problem. …”
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