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Titlebook: Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis; Subhendu Kumar Pani,Sujata Dash,Fran

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發(fā)表于 2025-3-26 22:15:07 | 只看該作者
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發(fā)表于 2025-3-27 03:23:24 | 只看該作者
https://doi.org/10.1007/978-1-4842-4982-6o giving an impetus to therapeutics action plans due to identification of COVID-19 biomarkers. This has also paved the path for bioinformatics strategies for drug repurposing to combat this dreadful infection..This chapter focuses on the various bioinformatics and computational tools developed and u
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發(fā)表于 2025-3-27 05:31:12 | 只看該作者
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發(fā)表于 2025-3-27 12:30:42 | 只看該作者
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發(fā)表于 2025-3-27 16:06:23 | 只看該作者
Fluvial geomorphology of north-east England,alled HECERA). Second, the study helps in distinguishing key factors of blockchain-backed data and centralized data. Third, the COVID-19 data provided by Mipasa is analyzed and knowledge tree of COVID-19 cases is generated to visualize the COVID-19 situation of most affected places in the world, the
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發(fā)表于 2025-3-27 18:56:21 | 只看該作者
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發(fā)表于 2025-3-28 01:42:52 | 只看該作者
https://doi.org/10.1007/978-94-011-5816-9to lead the decision-making during the pandemic. Several initiatives have made use of Artificial Intelligence, and models were designed using machine learning algorithms with features for temporal and spatio-temporal investigation and prediction of cases of Covid-19. Among the algorithms used are Su
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發(fā)表于 2025-3-28 03:36:44 | 只看該作者
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發(fā)表于 2025-3-28 08:22:46 | 只看該作者
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發(fā)表于 2025-3-28 14:09:23 | 只看該作者
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