Organic and recyclable waste classification using deep learning methods

Dabhane, Rashi Sunil (2023) Organic and recyclable waste classification using deep learning methods. Masters thesis, Dublin, National College of Ireland.

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Abstract

This study addresses the pressing global challenge of waste management and the crucial task of organic and recyclable waste classification. Specifically investigating transfer learning with the VGG-16 deep learning architecture, the approach integrates multiple diverse datasets into a comprehensive dataset. The paper offers a comparative analysis of models, including DenseNet121, DenseNet169, VGG16, VGG19, and ResNet18, highlighting innovations in architecture customization and strategic techniques like learning rate scheduling and early stopping, etc. The study not only holds practical significance in automating waste classification processes but also reduces reliance on manual sorting, thereby promoting sustainable waste management practices. Rigorous experimentation underscores achieving a peak accuracy of 95.59% with VGG-16 and transfer learning, contributing to substantial enhancements in model performance, reliability, and generalizability. This contribution aligns with the broader global agenda of sustainable development.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jain, Mayank UNSPECIFIED
Uncontrolled Keywords:	Waste management; deep learning; vgg16; image classification; sustainable development
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TD Environmental technology. Sanitary engineering Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Tamara Malone
Date Deposited:	03 Apr 2025 16:48
Last Modified:	03 Apr 2025 16:48
URI:	https://norma.ncirl.ie/id/eprint/7361

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