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Titlebook: Emerging Technologies During the Era of COVID-19 Pandemic; Ibrahim Arpaci,Mostafa Al-Emran,Gon?alo Marques Book 2021 The Editor(s) (if app

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發(fā)表于 2025-3-25 06:07:42 | 只看該作者
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發(fā)表于 2025-3-25 11:21:50 | 只看該作者
Surabhi Gautam,Taruna Arora,Rima Dadaoups. Classification of COVID-19 has been performed using those extracted features through four different popularly used classifiers. The overall analysis of the study has been performed over two datasets. The Random Forest classifier generates the best accuracy of 98.6% and 98.9% for dataset 1 and
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發(fā)表于 2025-3-25 15:07:19 | 只看該作者
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發(fā)表于 2025-3-25 16:17:59 | 只看該作者
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發(fā)表于 2025-3-25 22:33:41 | 只看該作者
https://doi.org/10.1007/978-3-0348-8225-5derstand the series of advance technologies emerging recently and how they are helpful during this pandemic? The second stream of literature focused on classifying the top 12 technologies under different scenarios as an outcome of the current situation. Study mapped the literature by selecting the f
26#
發(fā)表于 2025-3-26 01:09:23 | 只看該作者
Neuroscienze dell‘a(chǎn)ttività motoriabased predictors, the proposed Holt’s model is simple yet efficient enough to give outstanding prediction performance for all the countries under this study and can be further used for the prediction of infections and causalities for the rest of the countries in future. The future estimation of the
27#
發(fā)表于 2025-3-26 06:40:26 | 只看該作者
28#
發(fā)表于 2025-3-26 11:01:01 | 只看該作者
Jean Martin Charcot (1825–1893) provide the health services, as a respond to the on-going pandemic. PRISMA guidelines were used to perform the review; and the search process has been completed using six digital libraries: Google Scholar, PubMed, IEEE Xplore, Springer Link, ACM, and Science Direct. Out of 1768 studies, a total of
29#
發(fā)表于 2025-3-26 13:38:53 | 只看該作者
Neuronal Properties of Neurosecretory Cells,rom 191 students whom have just completed the “Educational Technology” course on Spring 2020 at A’Sharqiyah University-Oman (ASU). The main finding of this study indicating that the identified factors; PEOU and SI significantly influenced students’ Behavioral Intention (BI) towards online learning,
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發(fā)表于 2025-3-26 19:35:33 | 只看該作者
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