Testing accuracy and performance metrics for different DTL models for the second dataset DSWM2.

Testing accuracy and performance metrics for different DTL models for the second dataset DSWM2.

<p>Testing accuracy and performance metrics for different DTL models for the second dataset DSWM2.</p>

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Bibliographic Details
Main Author: Nour Eldeen Mahmoud Khalifa (19259450) (author)
Other Authors: Mohamed Hamed N. Taha (19259453) (author), Heba M. Khalil (11237892) (author), Mazhar Hussain Malik (17081487) (author)
Published: 2024
Subjects:
Ecology
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
grey wolf optimization
achieves competitive results
xlink "> sustainability
image features selection
datasets exist publicly
waste management 2
waste management 1
three neutrosophic domains
deep transfer learning
sustainability </ p
p ), recall
classify waste objects
ta ), precision
ondl model proved
ondl model architecture
different dtl models
deep learning
management practices
waste classification
classifying waste
two datasets
three classes
sustainability ecosystem
sustainability challenge
selection process
ondl model
dswm1 ),
two classes
testing accuracy
tested models
related works
r ),
performance metrics
neutrosophic domain
key factor
f1 score
crucial role
constructed based
computer algorithms
building components
applied correctly
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