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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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發(fā)表于 2025-3-21 18:24:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Informatics
期刊簡(jiǎn)稱Fourth International
影響因子2023Hector Florez,Ma Florencia Pollo-Cattaneo
視頻videohttp://file.papertrans.cn/160/159873/159873.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Informatics; Fourth International Hector Florez,Ma Florencia Pollo-Cattaneo Conference proceedings 2021 Springer Nature Switzerland
影響因子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..
Pindex Conference proceedings 2021
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書目名稱Applied Informatics影響因子(影響力)




書目名稱Applied Informatics影響因子(影響力)學(xué)科排名




書目名稱Applied Informatics網(wǎng)絡(luò)公開度




書目名稱Applied Informatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Informatics被引頻次




書目名稱Applied Informatics被引頻次學(xué)科排名




書目名稱Applied Informatics年度引用




書目名稱Applied Informatics年度引用學(xué)科排名




書目名稱Applied Informatics讀者反饋




書目名稱Applied Informatics讀者反饋學(xué)科排名




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Descriptive Analysis Model to Improve the Pension Contributions Collection Process for Colpensionesors, in a safe and timely manner. Therefore, we want to make known the importance of this process within the company with this article, from the information found in the payment tables for contributors during the years 2013 to 2017, thanks to COLPENSIONES. A descriptive analysis methodology of the c
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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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