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 …
Classification of organic and solid waste using deep convolutional neural networks
R Faria, F Ahmed, A Das, A Dey - 2021 IEEE 9th Region 10 …, 2021 - ieeexplore.ieee.org
The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
Optimization of Several Deep CNN Models for Waste Classification
With urbanization, population, and consumption on the rise, urban waste generation is
steadily increasing. Consequently, waste management systems have become integral to city …
steadily increasing. Consequently, waste management systems have become integral to city …
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 …
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 …
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 …
[PDF][PDF] Waste classification by fine-tuning pre-trained CNN and GAN
A Alsabei, A Alsayed, M Alzahrani… - International Journal of …, 2021 - researchgate.net
Waste accumulation is becoming a significant challenge in most urban areas and if it
continues unchecked, is poised to have severe repercussions on our environment and …
continues unchecked, is poised to have severe repercussions on our environment and …
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 …
Recyclable waste classification using computer vision and deep learning
N Ramsurrun, G Suddul, S Armoogum… - … zooming innovation in …, 2021 - ieeexplore.ieee.org
Recycling solid waste is an important step to reduce harmful impact such as sanitary and
health problems resulting from the over use of landfills. Yet, recycling requires the sorting of …
health problems resulting from the over use of landfills. Yet, recycling requires the sorting of …
[HTML][HTML] Intelligent waste management system using deep learning with IoT
Waste management leads to the demolition of waste conducted by recycling and landfilling.
Deep learning and the Internet of things (IoT) confer an agile solution in classification and …
Deep learning and the Internet of things (IoT) confer an agile solution in classification and …