[HTML][HTML] Application of deep learning object classifier to improve e-waste collection planning
P Nowakowski, T Pamuła - Waste Management, 2020 - Elsevier
This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
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 …
Real time multipurpose smart waste classification model for efficient recycling in smart cities using multilayer convolutional neural network and perceptron
Urbanization is a big concern for both developed and developing countries in recent years.
People shift themselves and their families to urban areas for the sake of better education …
People shift themselves and their families to urban areas for the sake of better education …
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 …
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 …
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 …
Waste classification for sustainable development using image recognition with deep learning neural network models
The proper handling of waste is one of the biggest challenges of modern society. Municipal
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …
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 …
Design and development of smart Internet of Things–based solid waste management system using computer vision
SS Mookkaiah, G Thangavelu, R Hebbar… - … Science and Pollution …, 2022 - Springer
Municipal solid waste (MSW) management currently requires critical attention in ensuring
the best principles of socio-economic attributes such as environmental protection, economic …
the best principles of socio-economic attributes such as environmental protection, economic …
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 …