Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models

<p dir="ltr">The proper handling of waste is one of the biggest challenges of modern society. Municipal Solid Waste (MSW) requires categorization into a number of types, including bio, plastic, glass, metal, paper, etc. The most efficient techniques proposed by researchers so far inc...

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Bibliographic Details
Main Author: Meena Malik (17542089) (author)
Other Authors: Sachin Sharma (25799) (author), Mueen Uddin (4903510) (author), Chin-Ling Chen (17542074) (author), Chih-Ming Wu (17542092) (author), Punit Soni (17542095) (author), Shikha Chaudhary (14145747) (author)
Published: 2022
Subjects:
Engineering
Environmental engineering
Information and computing sciences
Artificial intelligence
Machine learning
litter classification
convolution neural networks
machine learning
EfficientNet-B0
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