Intelligent waste classification system using deep learning convolutional neural network
The accumulation of solid waste in the urban area is becoming a great concern, and it would
result in environmental pollution and may be hazardous to human health if it is not properly …
result in environmental pollution and may be hazardous to human health if it is not properly …
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …
over time. The wastes disposed of the trash can be divided into two classes that are organic …
Waste image classification based on transfer learning and convolutional neural network
The rapid economic and social development has led to a rapid increase in the output of
domestic waste. How to realize waste classification through intelligent methods has become …
domestic waste. How to realize waste classification through intelligent methods has become …
Recyclable waste image recognition based on deep learning
This study aims to improve the accuracy of waste sorting through deep learning and to
provide a possibility for intelligent waste classification based on computer vision/mobile …
provide a possibility for intelligent waste classification based on computer vision/mobile …
Waste classification using convolutional neural network
Recycling of waste from households and industries, is one of the methods that has been
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
Recycling waste classification using optimized convolutional neural network
WL Mao, WC Chen, CT Wang, YH Lin - Resources, Conservation and …, 2021 - Elsevier
An automatic classification robot based on effective image recognition could help reduce
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
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 …
smart city advancement activities have increased. A recycling process of waste relies on the …
Intelligent solid waste classification using deep convolutional neural networks
Parallel to the rapid growth of the population, the rate of consumption is increasing all over
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …
A waste classification method based on a multilayer hybrid convolution neural network
C Shi, C Tan, T Wang, L Wang - Applied Sciences, 2021 - mdpi.com
With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …
classification have been proposed, which is beneficial to the realization of intelligent waste …
Solid waste image classification using deep convolutional neural network
N Nnamoko, J Barrowclough, J Procter - Infrastructures, 2022 - mdpi.com
Separating household waste into categories such as organic and recyclable is a critical part
of waste management systems to make sure that valuable materials are recycled and …
of waste management systems to make sure that valuable materials are recycled and …