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
Autores principales:	Nakib, Abdullah Al, Talukder, Md. Nayem, Majumder, Chinmoy, Biswas, Soptorshi, Hassan, Jabid
Otros Autores:	Alam, Md. Golam Rabiul
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2022
Materias:	CNN Mask R-CNN ResNet-101 Grad-CAM Deep learning Waste classification Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Acceso en línea:	http://hdl.handle.net/10361/16096

Descripción
Sumario:	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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