Intelligent Fusion of Deep Features for Improved Waste Classification

Intelligent Fusion of Deep Features for Improved Waste Classification

<p dir="ltr">In this article, we address the problem of an image-based automatic classification of waste materials. Given the large number of waste categories and the importance of proper management of waste materials, the problem is known to be critical and of a particular interest....

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Bibliographic Details
Main Author: Kashif Ahmad (12592762) (author)
Other Authors: Khalil Khan (9333883) (author), Ala Al-Fuqaha (4434340) (author)
Published: 2020
Subjects:
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Data management and data science
Waste management
waste classification
deep features
fusion
double fusion
particle swarm optimization genetic algorithms
IOWA
Feature extraction
Computer architecture
Analytical models
Computational modeling
Correlation
Genetic algorithms
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