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June-2021
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
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UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2106214
Registration ID:
310466
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Title
AI- Based COVID-19 Microscopic Blood Identification
Authors
Abstract
The impact of COVID-19 is all over the world, research teams and doctors are working day and night to defeat it. This paper discusses the method of identifying corona using blood images taken from electron microscope and neural network with the help of this application, many viruses can be detected. This technique extracts the features of the image and traces its pattern, so that it can predict which virus is in the blood.
Key Words
Corona Detection, Virus, Electron Microscope, CNN.
Cite This Article
"AI- Based COVID-19 Microscopic Blood Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b535-b538, June-2021, Available :http://www.jetir.org/papers/JETIR2106214.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"AI- Based COVID-19 Microscopic Blood Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb535-b538, June-2021, Available at : http://www.jetir.org/papers/JETIR2106214.pdf
Publication Details
Published Paper ID: JETIR2106214
Registration ID: 310466
Published In: Volume 8 | Issue 6 | Year June-2021
Page No: b535-b538
Country: YAVATMAL, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2106214
Published Paper PDF: https://www.jetir.org/papers/JETIR2106214
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