Multiclass COVID-19 detection by utilizing ESN: Extreme Smart Network without MeanDropout feature space.

Multiclass COVID-19 detection by utilizing ESN: Extreme Smart Network without MeanDropout feature space.

<p>Multiclass COVID-19 detection by utilizing ESN: Extreme Smart Network without MeanDropout feature space.</p>

Saved in:
Bibliographic Details
Main Author: Saghir Ahmed (4416544) (author)
Other Authors: Basit Raza (20175794) (author), Lal Hussain (14100502) (author), Touseef Sadiq (20175797) (author), Ashit Kumar Dutta (11547381) (author)
Published: 2024
Subjects:
Cancer
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
publicly available sources
promising significant advancements
portable chest x
novel approach called
large dataset containing
extreme smart network
000 cxr images
model &# 8217
images encompass covid
enhancing multiclass covid
enhancing covid prediction
mdfs model achieved
16 model
19 prediction
trained vgg
superior ability
study explores
study aimed
research proposes
optimize performance
normal conditions
normal cases
meticulously addressed
mdfs ).
hyperparameter tuning
fold cross
findings demonstrate
enhance multi
data imbalance
cxrs ).
bacterial pneumonia
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:<p>Multiclass COVID-19 detection by utilizing ESN: Extreme Smart Network without MeanDropout feature space.</p>

Similar Items