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 …
Waste classification and segregation: Machine learning and iot approach
S Yadav, A Shanmugam, V Hima… - 2021 2nd international …, 2021 - ieeexplore.ieee.org
In this paper, we have proposed a fully automated waste management system to implement
waste segregation. The method adopted is computer vision and deep learning paired with …
waste segregation. The method adopted is computer vision and deep learning paired with …
An approach to waste segregation and management using convolutional neural networks
Population explosion in India has led to an outburst of some major concerns, one of which is
the waste generation and disposal system. India is accountable for producing 12% of the …
the waste generation and disposal system. India is accountable for producing 12% of the …
Classification of waste materials using CNN based on transfer learning
Waste Management is important for humans as well as nature for healthy life and a clean
environment. The major step for effective waste management is the segregation of waste …
environment. The major step for effective waste management is the segregation of waste …
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 …
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 …
A method for waste segregation using convolutional neural networks
J Shah, S Kamat - 2022 Second International Conference on …, 2022 - ieeexplore.ieee.org
Segregation of garbage is a primary concern in many nations across the world. In spite of
being in the modern era, many people still do not know how to distinguish between organic …
being in the modern era, many people still do not know how to distinguish between organic …
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 …
Automated waste sorting using convolutional neural network
MH Huynh, PT Pham-Hoai, AK Tran… - 2020 7th NAFOSTED …, 2020 - ieeexplore.ieee.org
The waste classification has become a crucial mission for sustaining worldwide economic
growth and preserving the environment. Using deep learning to sort solid waste …
growth and preserving the environment. Using deep learning to sort solid waste …
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 …