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Titlebook: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach; Aboul-Ella Hassanien,Nilanjan Dey,Sally E

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發(fā)表于 2025-3-21 17:43:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
影響因子2023Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
視頻videohttp://file.papertrans.cn/186/185601/185601.mp4
發(fā)行地址Presents big data analytics tools and Artificial Intelligence (AI) techniques, useful for the fight against COVID-19.Focuses on the integration between Big Data Analytics tools and Artificial Intellig
學(xué)科分類Studies in Big Data
圖書封面Titlebook: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach; Aboul-Ella Hassanien,Nilanjan Dey,Sally E
影響因子.This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic.?In the context of COVID-19, this book focuses on how?big data analytic and artificial intelligence?help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.?.
Pindex Book 2020
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978-3-030-55260-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Aboul-Ella Hassanien,Nilanjan Dey,Sally ElghamrawyPresents big data analytics tools and Artificial Intelligence (AI) techniques, useful for the fight against COVID-19.Focuses on the integration between Big Data Analytics tools and Artificial Intellig
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https://doi.org/10.34157/978-3-648-15833-3s a big problem of today’s era. Environmental conditions and habits of people are somehow responsible for the vulnerable conditions of the environment. In consequence, to find out the exact condition the study needs to know about the symptom of the person (like age, gender, current body temperature,
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Burkhard Strümpel,Joachim Scholz-Ligmaffective online algorithm for detection of change-points in tracking data (movement data, health rate data etc.). We developed a non-parametric test for evaluation of the statistical hypothesis that data in two adjacent time intervals have the same distribution. In the context of the mobile phone tr
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