Deep learning-based waste classification system for efficient waste management

Deep learning-based waste classification system for efficient waste management

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs: Nakib, Abdullah Al, Talukder, Md. Nayem, Majumder, Chinmoy, Biswas, Soptorshi, Hassan, Jabid
Andere auteurs: Alam, Md. Golam Rabiul
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2022
Onderwerpen:
CNN
Mask R-CNN
ResNet-101
Grad-CAM
Deep learning
Waste classification
Cognitive learning theory (Deep learning)
Artificial intelligence
Machine learning
Online toegang:http://hdl.handle.net/10361/16096

Internet

http://hdl.handle.net/10361/16096

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