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.

Detalles Bibliográficos
Main Authors:	Nakib, Abdullah Al, Talukder, Md. Nayem, Majumder, Chinmoy, Biswas, Soptorshi, Hassan, Jabid
Outros autores:	Alam, Md. Golam Rabiul
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2022
Subjects:	CNN Mask R-CNN ResNet-101 Grad-CAM Deep learning Waste classification Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Acceso en liña:	http://hdl.handle.net/10361/16096

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

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