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Computation to Fight SARS-CoV-2 (CoVid-19)
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (544 p.)Innehållstyp: - text
- computer
- online resource
- 9783725800476
- 9783725800483
- Medicine
- BigARTM
- CD147
- COVID-19
- COVID-19 cases
- COVID-19 in several countries
- COVID-19 outbreak
- Emilia- Romagna
- Emilia-Romagna
- Google Trends
- Granger-causality
- ISGylation
- Italy
- MM-GBSA
- NLP
- Omicron wave
- PLpro
- RNA-dependent RNA polymerase inhibitors
- Richard's curve
- SARS-CoV-2
- SARS-CoV-2 variant
- SEIR models
- West Java Province
- air pollution
- alpha-7 nicotinic receptor
- binding energy
- bioinformatics
- causal inference
- chest X-ray
- chi-square test
- classification
- coarse-grained modeling
- combinatorial screening
- commuter perception
- computational
- computational chemistry
- computer-aided drug design
- convolutional neural network
- coronavirus
- correlation
- cross the correlation-based distance
- daily reproduction number
- deep learning
- dendrogram
- departure delay
- discrete deconvolution
- discrete epidemic growth equation
- docking
- dynamics generator
- eucalyptus compounds
- explainable artificial intelligence
- flower pollination algorithm
- forecasting
- fuzzy synthetic evaluation (FSE)
- immunoinformatic
- immunomodulation
- infodemic
- inhibition
- innate im
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Open Access Unrestricted online access star
This is a reprint of articles from the Special Issue published online in the open-access journal Computation (ISSN 2079-3197) titled Computation to Fight SARS-CoV-2 (COVID-19). This reprint contains articles concerning the last pandemic health emergency, considering the period 2020–2023.
Creative Commons Licence cc by-nc-nd cc https://creativecommons.org/licenses/by-nc-nd/4.0/
eng
Freely available e-book