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Titlebook: Advances on Intelligent Informatics and Computing; Health Informatics, Faisal Saeed,Fathey Mohammed,Fuad Ghaleb Conference proceedings 202

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發(fā)表于 2025-3-21 17:53:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances on Intelligent Informatics and Computing
期刊簡稱Health Informatics,
影響因子2023Faisal Saeed,Fathey Mohammed,Fuad Ghaleb
視頻videohttp://file.papertrans.cn/151/150305/150305.mp4
發(fā)行地址Focuses on recent topics in data science, health informatics, intelligent systems, smart computing.Provides outcomes of the 6th International Conference of Reliable Information and Communication Techn
學(xué)科分類Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Advances on Intelligent Informatics and Computing; Health Informatics,  Faisal Saeed,Fathey Mohammed,Fuad Ghaleb Conference proceedings 202
影響因子.This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and Computing”. A total of 87 papers were submitted to the conference, but only 66 papers were accepted and published in this book. The book presents several hot research topics which include health informatics, artificial intelligence, soft computing, data science, big data analytics, Internet of Things (IoT), intelligent communication systems, cybersecurity, and information systems..
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Improve Short-term Electricity Consumption Forecasting Using a GA-Based Weighted Fractional Grey Modparameters that can be used to adjust the order of the summation based on different data sequences and reflect the new information priority. The key issue with the WFGM model is determining two optimum fractional-order values to improve the accuracy of electricity consumption forecasts. The Genetic
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Improvement of Population Diversity of Meta-heuristics Algorithm Using Chaotic Map-world optimization challenges. Nevertheless, PSO has some weaknesses such as slow convergence, converging prematurely and simply gets stuck at local optima. This study aims to solve the problem of deprived population diversity in the search process of PSO which causes premature convergence. Therefo
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