Municipal solid waste segregation with CNN
C Srinilta, S Kanharattanachai - 2019 5th International …, 2019 - ieeexplore.ieee.org
Pollution from municipal solid waste has been a problem in Thailand for a long time. People
generate waste in every minute. Ineffective waste segregation does increase difficulties in …
generate waste in every minute. Ineffective waste segregation does increase difficulties in …
Comparative analysis of multiple deep CNN models for waste classification
Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for
automatic waste sorting and collecting in such a way that helps it for further recycling …
automatic waste sorting and collecting in such a way that helps it for further recycling …
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 …
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 …
Recycling waste classification using optimized convolutional neural network
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 …
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 …
Precision measurement for industry 4.0 standards towards solid waste classification through enhanced imaging sensors and deep learning model
Achievement of precision measurement is highly desired in a current industrial revolution
where a significant increase in living standards increased municipal solid waste. The current …
where a significant increase in living standards increased municipal solid waste. The current …
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting
An intelligent and efficient methodology is needed owning to the continuous increase of
global municipal solid waste (MSW). This is because the common methods of manual and …
global municipal solid waste (MSW). This is because the common methods of manual and …
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 …