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 …
Deep learning for plastic waste classification system
J Bobulski, M Kubanek - Applied Computational Intelligence …, 2021 - Wiley Online Library
Plastic waste management is a challenge for the whole world. Manual sorting of garbage is
a difficult and expensive process, which is why scientists create and study automated sorting …
a difficult and expensive process, which is why scientists create and study automated sorting …
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 …
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 …
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 …
[PDF][PDF] Deep learning applications in solid waste management: A deep literature review
Solid waste management (SWM) has recently received more attention, especially in
developing countries, for smart and sustainable development. SWM system encompasses …
developing countries, for smart and sustainable development. SWM system encompasses …
Municipal solid waste classification and real-time detection using deep learning methods
N Li, Y Chen - Urban Climate, 2023 - Elsevier
Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …
solid waste generation has been steadily increasing over the past decade. Recycling is …
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 …
[PDF][PDF] Seven class solid waste management-hybrid features based deep neural network
To keep cities clean, municipal agencies, non-profit organizations, and the private sector all
provide solid management as one of their core essential services. Waste management …
provide solid management as one of their core essential services. Waste management …
Waste management using machine learning and deep learning algorithms
Waste Management is one of the essential issues that the world is currently facing does not
matter if the country is developed or under developing. The key issue in this waste …
matter if the country is developed or under developing. The key issue in this waste …