An Automated Approach to Waste Classification Using Deep Learning

S Loganayagi, D Usha - 2023 Fifth International Conference on …, 2023 - ieeexplore.ieee.org
Waste management has been done by humans through direct monitoring and classification
of the products or items that are to be sorted-out. Waste management are carried out in …

Waste Classification Using Random Forest Classifier with DenseNet201 Deep Features

K Akyol, A Karacı - … Conference on Computer Science, Engineering and …, 2023 - Springer
The successful management of solid waste, which has become a major issue in urban life,
reduces environmental pollution. To address this issue, numerous studies using various …

Waste Classification and Its Analysis Using RCNN Algorithm

P Ghadekar, A Joshi, P Kshirsagar… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The paper includes a classification model based on RCNN algorithm, using a dataset of
waste images with 9 different categories: Trash, plastic, metal objects, cardboard, papers …

Intelligent waste classification approach based on improved multi-layered convolutional neural network

M Chhabra, B Sharan, M Elbarachi… - Multimedia Tools and …, 2024 - Springer
This study aims to improve the performance of organic to recyclable waste through deep
learning techniques. Negative impacts on environmental and Social development have …

Classification of waste materials using CNN based on transfer learning

S Poudel, P Poudyal - Proceedings of the 14th Annual Meeting of the …, 2022 - dl.acm.org
Waste Management is important for humans as well as nature for healthy life and a clean
environment. The major step for effective waste management is the segregation of waste …

[PDF][PDF] Waste Classification using Deep Learning CNN

DM Rai, S Gupta - International Journal of Advances in Engineering and … - ijaem.net
The generation of waste India is becoming a great concern, and it has affected our
environment and may even affect the life of people living near these dump sites. The recent …

Enhancing waste categorization using ensemble of transfer learning and light-weight convolutional neural network

AY Srizon, A Sarker, M Al Mamun… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Proper waste management is essential to reduce the negative impacts of waste on human
health and the environment. Waste management can play a significant role in achieving …

Detection of Inorganic Waste Using Convolutional Neural Network Method

A Riduan, F Panjaitan, S Rizal, N Huda… - Journal of Information …, 2024 - journal-isi.org
Waste, encompassing both domestic and industrial materials, presents a significant
environmental challenge. Effectively managing waste requires accurate identification and …

Classification of waste objects using deep convolutional neural networks

G Rishma, R Aarthi - ICDSMLA 2020: Proceedings of the 2nd International …, 2022 - Springer
Pollution induced by waste is one of the major problems across the globe for a long time.
During the difficult natural calamities, it worsens the situation due to the improper way of …

A Review on Categorization of the Waste Using Transfer Learning

KM Jamdaade, M Biswal, YN Pitre - … , Machine Learning and User …, 2024 - books.google.com
In this paper, we have aimed to develop a system that will help waste collectors segregate
different types of waste without needing much human intervention. We have experimented …