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Titlebook: Advances in Computational Intelligence; 23rd Mexican Interna Lourdes Martínez-Villaseñor,Gilberto Ochoa-Ruiz Conference proceedings 2025 Th

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发表于 2025-3-21 17:17:03 | 显示全部楼层 |阅读模式
期刊全称Advances in Computational Intelligence
期刊简称23rd Mexican Interna
影响因子2023Lourdes Martínez-Villaseñor,Gilberto Ochoa-Ruiz
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Computational Intelligence; 23rd Mexican Interna Lourdes Martínez-Villaseñor,Gilberto Ochoa-Ruiz Conference proceedings 2025 Th
影响因子.The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21–25, 2024...The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections:..Part I - Machine Learning; Computer Vision...Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing..
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Advances in Computational Intelligence978-3-031-75540-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Price Estimation for Pre-owned Vehicles Using Machine LearningThis article presents the initial analysis of pre-owned car pricing using machine learning techniques. We explore three approaches: classic linear regression, tree boosting, and quantile regression algorithms. The scope of the article includes comparing these models and understanding the underlying data structure.
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Analysis of Predictive Factors in University Dropout Rates Using Data Science TechniquesThis study uses advanced data science techniques to explore the variables that influence university dropout rates. Through predictive models and the integration of demographic, socioeconomic, and academic data, key factors are identified and risk estimates are provided, with the goal of guiding interventions to improve student retention.
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https://doi.org/10.1007/978-3-658-41918-9nt. Outdoor landscaping typically represents 40–70% of total water household consumption in some semi-arid areas; thus, outdoor water use is a significant factor that contributes to urban water sustainability..Evapotranspiration (ET) indicates the water and energy exchange between the atmosphere and
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