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Solid Waste Image Classification Using Deep Convolutional Neural Network
NONSO NNAMOKO
Computer Science
Research output
:
Contribution to journal
›
Article (journal)
›
peer-review
2
Citations (Scopus)
6
Downloads (Pure)
Overview
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Dive into the research topics of 'Solid Waste Image Classification Using Deep Convolutional Neural Network'. Together they form a unique fingerprint.
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Engineering & Materials Science
Artificial intelligence
8%
Classifiers
7%
Convolutional neural networks
74%
Costs
7%
Deep neural networks
79%
Entropy
8%
Experiments
3%
Health
7%
Image classification
86%
Image resolution
54%
Incineration
14%
Land fill
12%
Learning algorithms
8%
Machine learning
7%
Solid wastes
99%
Transparency
21%
Waste management
12%
Earth & Environmental Sciences
artifact
8%
artificial intelligence
11%
circular economy
12%
code
7%
cost
10%
domestic waste
11%
entropy
9%
experiment
4%
human health
8%
image classification
88%
image resolution
52%
incineration
10%
landfill
8%
loss
10%
machine learning
10%
method
4%
methodology
5%
prediction
5%
public
6%
recycled material
13%
repository
9%
solid waste
76%
transparency
20%
waste classification
48%
waste management system
12%
Chemical Compounds
Classifier
27%
Environment
11%
Error
15%
Solid Waste
100%
Time
29%
Transparency
40%
Waste Management
28%