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.

Xehetasun bibliografikoak
Egile Nagusiak:	Nakib, Abdullah Al, Talukder, Md. Nayem, Majumder, Chinmoy, Biswas, Soptorshi, Hassan, Jabid
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	CNN Mask R-CNN ResNet-101 Grad-CAM Deep learning Waste classification Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/16096

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

Antzeko izenburuak