Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

[HTML][HTML] Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications

S Dodampegama, L Hou, E Asadi, G Zhang… - Resources …, 2024 - Elsevier
The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment

UK Lilhore, S Simaiya, S Dalal… - Multimedia Tools and …, 2024 - Springer
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

[HTML][HTML] Enhancement of image classification using transfer learning and gan-based synthetic data augmentation

S Chatterjee, D Hazra, YC Byun, YW Kim - Mathematics, 2022 - mdpi.com
Plastic bottle recycling has a crucial role in environmental degradation and protection.
Position and background should be the same to classify plastic bottles on a conveyor belt …

Improving circularity in municipal solid waste management through machine learning in Latin America and the Caribbean

JCBF Bijos, VM Zanta, J Morató, LM Queiroz… - Sustainable Chemistry …, 2022 - Elsevier
Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …

Waste classification using artificial intelligence techniques: literature review

I Nasir, GAA Al-Talib - 2023 - techniumscience.com
Abstract waste is the total remnants of domestic, agricultural, industrial and productive
human activities, all the trash left somewhere, the neglect of which threatens and harms …

A Systematic Review of Machine Learning Approaches for Trash Classification

S Vidhya - 2023 7th International Conference on Trends in …, 2023 - ieeexplore.ieee.org
In the fast-moving environment everyone handles different types of trash. A common man to
large industries produces trash and it is accumulating everywhere. Recycling the trashes to …

[PDF][PDF] Accuracy study of image classification for reverse vending machine waste segregation using convolutional neural network

TH Yan, SNM Azam, ZM Sani… - International Journal of …, 2024 - academia.edu
This study aims to create a sorting system with high accuracy that can classify various
beverage containers based on types and separate them accordingly. This reverse vending …

[PDF][PDF] Garbage Classification using transfer learning with CNN and Generative Adversarial Networks (GAN)

A Ahtesham - 2024 - esource.dbs.ie
The management of waste is of utmost importance in the preservation of the environment
and the promotion of sustainable development. The importance of garbage sorting is …

Waste Classification Using Artificial Intelligence Techniques: Literature Review.

IN Abood, GAA Al-Talib - Technium, 2023 - search.ebscohost.com
Abstract waste is the total remnants of domestic, agricultural, industrial and productive
human activities, all the trash left somewhere, the neglect of which threatens and harms …