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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM14654
Volume:
6 |
6 |
Jun 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
It is always desirable to detect an epidemic/pandemic in a timely and accurate manner in order to prevent its spread. There can be several approaches to detecting any illness, including deep learning models. Transparency/interpretability of a deep learning model’s reasoning process in relation to health science, on the other hand, is a must. As a result, we provide Gen-ProtoPNet, an interpretable deep learning model.The distance function L2 and prototypes of spacial dimension 1 1 are used in the last two models. In our approach, we employ an extended version of the distance function L2 that allows us to categorise an input using prototypes of any sort of spatial dimension, such as square and rectangular dimensions. . Domain – Deep Learning
KEYWORDS
Publication Date
6/15/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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