The Distribution Pattern of Machining Errors on Woodworking Machine Tools by Pylypchuk M. I., Dziuba L. F., Mayevskyy V. O., Kopynets Z. P., Taras V. I.

“…The article aims to develop a methodology for calculating and predicting the distribution patterns of wood machining errors to assess the operating conditions of the machine tool according to the technological accuracy criterion. …”
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Machine learning analysis of the effects of COVID-19 on migration patterns by Farzona Mukhamedova, Ivan Tyukin

“…Abstract This study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns from 2019 to 2021 by conceptualizing countries as monomers emitting radiation to model and analyze their patterns through the lens of socio-economics and machine learning. …”
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Pattern recognition in living cells through the lens of machine learning by Frank Britto Bisso, Rodrigo Aguilar, Durga Shree, Yinan Zhu, Mijael Espinoza, Benjamin Diaz, Christian Cuba Samaniego

“…At a coarse level, pattern recognition within cells involves sensing of environmental signals by surface receptors, and activating downstream signalling pathways that ultimately drive a transcriptome response, enabling biological functions such as differentiation, migration, proliferation, apoptosis or cell-type specification. …”
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Goal-oriented 3D pattern adjustment with machine learning by Megha Shastry, Ye Fan, Clarissa Martins, Dinesh K. Pai

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Identifying ovarian cancer with machine learning DNA methylation pattern analysis by Jesus Gonzalez Bosquet, Vincent M. Wagner, Douglas Russo, Henry D. Reyes, Andreea M. Newtson, David P. Bender, Michael J. Goodheart

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Support Vector Machines and Model Selection for Control Chart Pattern Recognition by Chih-Jen Su, I-Fei Chen, Tzong-Ru Tsai, Tzu-Hsuan Wang, Yuhlong Lio

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Stock Price Pattern Prediction Based on Complex Network and Machine Learning by Hongduo Cao, Tiantian Lin, Ying Li, Hanyu Zhang

“…In this study, in order to extract the information about relation stocks for prediction, we try to combine the complex network method with machine learning to predict stock price patterns. …”
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Numerical Optimization of Polygon Tessellation for Generating Machine-producible Crochet Patterns by Jan Lukas Storck, Bjarte Alexander Feldmann, Johannes Fiedler, Yordan Kyosev

“…The rules of the automated crocheting process were thus followed to ensure the machine manufacturability of generated patterns. Computer models of the fabrics were used as previews. …”
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Effects of planting patterns on yield, quality, and defoliation in machine-harvested cotton by Fang-yong WANG, Huan-yong HAN, Hai LIN, Bing CHEN, Xian-hui KONG, Xin-zhu NING, Xu-wen WANG, Yu YU, Jing-de LIU

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Intrusion detection method based on machine learning by TIAN Xin-guang1, GAO Li-zhi2, ZHANG Er-yang1

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An interpretable machine learning model for precise prediction of biomarkers for intermittent fasting pattern by Xiaoli Hu, Qingjun Xu, Xuan Ma, Lin Li, Yongning Wu, Feifei Sun

“…The data was further analyzed through interpretable machine learning (ML) to data mine the biomarkers for two dietary patterns. …”
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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…This paper explores the application of machine learning techniques and statistical analysis to identify the patterns of victimization and the risk of gender-based violence in San Andrés de Tumaco, Nariño, Colombia. …”
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Composition pattern-aware web service recommendation based on depth factorisation machine by Bing Tang, Mingdong Tang, Yanmin Xia, Meng-Yen Hsieh

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A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia by Louise Pedersen, Magdalena Mazur-Milecka, Jacek Ruminski, Stefan Wagner

Subjects: “…deployment pattern…”
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Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

“…This approach makes it easier to identify recurring or abnormal patterns in machine operations that may indicate wear or impending failure. …”
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Osteoarthritis progression pattern based on patient specific characteristics using machine learning by Seong Yun Park, Myeong Ju Kim, Joon Hee Cho, Hee Seung Nam, Jade Pei Yuik Ho, Yong Seuk Lee

“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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Profiling the AI speaker user: Machine learning insights into consumer adoption patterns. by Yunwoo Choi, Changjun Lee

“…To do so, our analysis employs decision trees, random forests, support vector machines, artificial neural networks, and XGboost, which are typical machine learning techniques for classification and leverages the 2019 Media & Consumer Research survey data from the Korea Broadcasting and Advertising Corporation (N = 3,922). …”
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Embedding machine-learnt sub-grid variability improves climate model precipitation patterns by Daniel Giles, James Briant, Cyril J. Morcrette, Serge Guillas

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Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning by Mi Liu, Xingxing Gao, Hongfa Wang, Yiping Zhang, Xiaojun Li, Renlai Zhu, Yunru Sheng

“…Methods Fourteen PCD patterns were analyzed for model construction. Seven transcriptome datasets and a single cell sequencing dataset were collected from the Gene Expression Omnibus database. …”
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Unveiling structural change patterns: an unsupervised machine learning approach to long-term dynamics by Julián Salinas

“…Abstract This study aims to analyse structural change (SC) patterns across 147 countries/regions from 2000–2021. …”
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