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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Method of automated construction of pattern recognition algorithms on phase paths by Dmitry Kovalenko

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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 computational algorithm was developed for statistical modeling of the pattern of the distribution of machining errors according to the Weibull distribution law. …”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…Secondly, an optimized machine learning algorithm based on decision tree is adopted. …”
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A patterning algorithm for the dynamic bin packing problem with placement groups by Evgeniy A. Brazhnikov, Artem A. Panin, Alexey V. Ratushnyi

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Discovering patterns of play in netball with network motifs and association rules by Browne P., Morgan S., Bahnisch J., Robertson S.

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A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara by Martha Patricia Martínez Vargas, Elsa Estrada Guzmán, Roció Maciel Arellano

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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

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A Pattern‐Based Machine Learning Model for Imputing Missing Records in Coastal Wind Observation Networks by Nan‐Jing Wu, Tai‐Wen Hsu, Ting‐Chieh Lin

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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

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The species distribution model based on the random forest algorithm reveals the distribution patterns of Neophocaena asiaeorientalis by Rao Rongcheng, Huang Yi, Min Jialing, Yang Ying, Liu Fanning, Wu Xiya, Shi Xinyuan, Li Caigang, Dai Yingen, Huang Qinghai, Yu Jinxiang, Que Jianglong

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SMOTEHashBoost: Ensemble Algorithm for Imbalanced Dataset Pattern Classification by Seema Yadav, Dhruvanshu Joshi, Soham Mulye, Sandeep S. Udmale, Girish P. Bhole

“…Consequently, there is growing concern about algorithmic fairness. Thus, the goal is to improve the ability to identify different discriminatory patterns in the data by creating a large number of test cases, which will result in more fair and unbiased model performance. …”
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Forecasting household monthly electricity consumption using the similar pattern algorithm by Bistoon Hosseini

“… This article discusses forecasting the monthly electricity consumption time series of household subscribers using the similar pattern algorithm, which uses each subscriber’s unique consumption pattern. …”
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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

“…Generally speaking, the algorithm extends the toolbox for designing machine-crocheted fabrics through the automated generation of valid crochet patterns corresponding to input shapes and according to the possibilities of the CroMat crocheting machine prototype. …”
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Stock Price Pattern Prediction Based on Complex Network and Machine Learning by Hongduo Cao, Tiantian Lin, Ying Li, Hanyu Zhang

“…Next, the topology characteristic variables for each combination symbolic pattern are used as the input variables for K-nearest neighbors (KNN) and support vector machine (SVM) algorithms to predict the next-day volatility patterns of a single stock. …”
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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

“…To conquer these downsides, algorithms for control chart pattern recognition (CCPR) leverage machine learning models to detect non-normality or normality and ensure product quality is established, and novel approaches that integrate the support vector machine (SVM), random forest (RF), and K-nearest neighbors (KNN) methods with the model selection criterion, named SVM-, RF-, and KNN-CCPR, respectively, are proposed. …”
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Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

Subjects: “…pattern recognition…”
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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

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Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018) by Adriano Matousek, Tiffany H Leung, Herbert Pang

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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

“…Furthermore, we incorporate machine learning algorithms, such as Artificial Neural Networks, Support Vector Machines, and Decision Trees, to evaluate and validate the effectiveness of Ordinal Patterns as discriminative features. …”
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