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Titlebook: Intelligent Data Analysis for COVID-19 Pandemic; M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Book 2021 The Editor(s) (if applicable

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31#
發(fā)表于 2025-3-27 00:09:50 | 只看該作者
COVID-19 and Stock Markets: Deaths and Strict Policies,fects models, for G7 and E7 countries, respectively, are used for coefficient estimation. The analysis reveals that the rise in deaths caused by COVID-19 has had no effect on stock markets in G7 and E7 countries, but the strict measures taken to prevent the spread of the virus have had some negative
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發(fā)表于 2025-3-27 01:30:05 | 只看該作者
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發(fā)表于 2025-3-28 01:35:34 | 只看該作者
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發(fā)表于 2025-3-28 02:11:10 | 只看該作者
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發(fā)表于 2025-3-28 09:48:33 | 只看該作者
A Travelling Disinfection-Man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sh detailed real application case study involving the improving the scheduling of coronavirus disinfection process for five contaminated faculties in Ain Shams University in Cairo, and the case study is solved using a novel discrete binary gaining-sharing knowledge-based optimization algorithm (DBGSK).
40#
發(fā)表于 2025-3-28 11:17:13 | 只看該作者
Book 2021atural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help m
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