COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies

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Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
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"COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies"
written by Asadi Srinivasulu, Tarkeshwar Barua, Srinivas Nowduri, Madhusudhana Subramanyam, Sivaram Rajeyyagari,
published by Journal of Data Analysis and Information Processing, Vol.10 No.1, 2022

has been cited by the following article(s):

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CrossRef

[1]	Improved autoregressive integrated moving average model for COVID-19 prediction by using statistical significance and clustering techniques
	Heliyon, 2023

[2]	Deep learning based detection and prediction of omicron diagnosis on collected symptoms
	2022 7th International …, 2022

[3]	COVID-19 Data Analytics Using Extended Convolutional Technique
	… on Infectious Diseases, 2022

[1]	Blockchain Applications - Transforming Industries, Enhancing Security, and Addressing Ethical Considerations 2023 DOI:10.5772/intechopen.106999

[2]	Building a cross-border e-commerce talent training platform based on logistic regression model The Journal of High Technology Management Research, 2023 DOI:10.1016/j.hitech.2023.100473

[3]	Blockchain [Working Title] 2022 DOI:10.5772/intechopen.106999

[4]	Blockchain [Working Title] 2022 DOI:10.5772/intechopen.106999

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