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  1. 1

    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

    Published 2025-02-01
    “…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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    Article
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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

    Published 2025-01-01
    “…Secondly, an optimized machine learning algorithm based on decision tree is adopted. …”
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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.

    Published 2023-10-01
    “…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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    Opportunities of machine learning algorithms for education by Olga Ovtšarenko

    Published 2024-11-01
    “…This study explores the potential of machine learning algorithms to build and train models using log data from the "3D Modeling" e-course on the Moodle platform at TTK University of Applied Sciences, Tallinn, Estonia. …”
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    Neuromorphic devices assisted by machine learning algorithms by Ziwei Huo, Qijun Sun, Jinran Yu, Yichen Wei, Yifei Wang, Jeong Ho Cho, Zhong Lin Wang

    Published 2025-01-01
    “…The applications of neuromorphic devices assisted by machine learning algorithms in different fields are categorized and investigated. …”
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    Article
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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

    Published 2025-01-01
    “…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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    Machine Learning Algorithms Performance Evaluation for Intrusion Detection by Shyla ., Kapil Kumar, Vishal Bhatnagar

    Published 2021-01-01
    “…The detection of Intrusion is the major research problem faced in the area of information security, the objective is to scrutinize threats or intrusions to secure information in the network Intrusion detection system (IDS) is one of the key to conquer against unfamiliar intrusions where intruders continuously modify their pattern and methodologies. In this paper authors introduces Intrusion detection system (IDS) framework that is deployed over KDD Cup99 dataset by using machine learning algorithms as Support Vector Machine (SVM), Naïve Bayes and Random Forest for the purpose of improving the precision, accuracy and recall value to compute the best suited algorithm.…”
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    Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

    Published 2024-01-01
    “…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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