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Titlebook: Applied Informatics; Fourth International Hector Florez,Ma Florencia Pollo-Cattaneo Conference proceedings 2021 Springer Nature Switzerland

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发表于 2025-3-21 18:24:55 | 显示全部楼层 |阅读模式
期刊全称Applied Informatics
期刊简称Fourth International
影响因子2023Hector Florez,Ma Florencia Pollo-Cattaneo
视频video
学科分类Communications in Computer and Information Science
图书封面Titlebook: Applied Informatics; Fourth International Hector Florez,Ma Florencia Pollo-Cattaneo Conference proceedings 2021 Springer Nature Switzerland
影响因子This book constitutes the thoroughly refereed papers of the 4th International Conference on Applied Informatics, ICAI 2021, held in Buenos Aires, Argentina, in October, 2021.The 35 full papers were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on artificial intelligence; data analysis; decision systems; health care information systems; image processing; security services; simulation and emulation; smart cities; software and systems modeling; software design engineering..
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书目名称Applied Informatics影响因子(影响力)




书目名称Applied Informatics影响因子(影响力)学科排名




书目名称Applied Informatics网络公开度




书目名称Applied Informatics网络公开度学科排名




书目名称Applied Informatics被引频次




书目名称Applied Informatics被引频次学科排名




书目名称Applied Informatics年度引用




书目名称Applied Informatics年度引用学科排名




书目名称Applied Informatics读者反馈




书目名称Applied Informatics读者反馈学科排名




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A Multi-objective Mathematical Optimization Model and a Mobile Application for Finding Best Pedestriesults of our algorithm are compared against a Multi-Objective mathematical optimization solution and interesting findings were found. Finally, a mobile application was created and designed in order to obtain optimal routes to travel between two points in the university campus.
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An Improved Course Recommendation System Based on Historical Grade Data Using Logistic Regressionr, proposes an effective course recommendation system for undergraduate students using Python programming language, to solve this problem based on grade data from past students. The logistic regression model alongside a wide and deep recommender were used to classify students based on whether a part
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