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

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Artificial Intelligence Techniques in Medical Imaging for Detection of Coronavirus (COVID-19/SARS-Cn-v3, MobileNet, and Inception-ResNet-v2 for image recognition and image classification and their performance analysis for the detection of COVID-19 using a large open-access dataset of real-time chest X-ray images that are publicly available and open source.

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https://doi.org/10.1007/978-981-16-1574-0COVID-19; Corona Virus Disease; Intelligent Data Analysis; Machine Learning; Information Through Web App

BRIDE

M. Niranjanamurthy,Siddhartha Bhattacharyya,NeerajPresents intelligent data analysis in dealing with COVID-19 outbreak.Discusses data analysis methods and tools for analyzing COVID-19 symptoms.Serves as a reference resource for researchers and academ

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Algorithms for Intelligent Systemshttp://image.papertrans.cn/i/image/469561.jpg

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978-981-16-1576-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Intelligent Data Analysis for COVID-19 Pandemic978-981-16-1574-0Series ISSN 2524-7565 Series E-ISSN 2524-7573

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glomeruli

RECUR

Nooit meer angst bij de tandartsmis-assignment of the compound structure. This report provides an overview of the synthetic routes for the construction of the indenylidene pattern in ruthenium complexes. The parameters relating to the indenylidene moiety construction will be discussed as well as the mechanism of this formation