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About:
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/1
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An Entity of Type :
amo:Claim
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
sioca:Idea
aif:I-node
aif:KnowledgePosition_Statement
claim
New Facet based on Instances of this Class
Attributes
Values
type
sioca:Idea
aif:I-node
aif:KnowledgePosition_Statement
claim
wasQuotedFrom
GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm
sioca:supports
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/2
aif:claimText
The comparison results demonstrated the efficacy of the proposed GSA - DenseNet121 - COVID - 19 and its ability to better diagnose COVID - 19 disease than the SSD - DenseNet121 as the second was able to diagnose only 94 % of the test set .
proves
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/2
is
hasSource
of
nodeID://b56184068
nodeID://b56186096
nodeID://b56190920
nodeID://b56229136
nodeID://b56245544
nodeID://b56344652
is
sioca:supports
of
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/0
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/2
is
has claim
of
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf
is
proves
of
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/0
covid:arg/1932ea139d08d1256a77ccdeeae510f6120ce6bf/2
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