[HTML][HTML] Intelligent and real-time detection and classification algorithm for recycled materials using convolutional neural networks
In recent years, the production of municipal solid waste has constantly been increasing.
Recycling is becoming more and more important, as it is the only way that we can have a …
Recycling is becoming more and more important, as it is the only way that we can have a …
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 …
Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network
Domestic waste classification was incorporated into legal provisions recently in China.
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …
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] Deep learning-based waste detection in natural and urban environments
Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, both for economic and ecological reasons, and the …
importance of recycling is well known, both for economic and ecological reasons, and the …
Automatic waste detection by deep learning and disposal system design
As Dubai aims to become a greener city by the year 2021, efforts are currently being made
by the government to devise a more efficient and innovative approach to tackling solid-waste …
by the government to devise a more efficient and innovative approach to tackling solid-waste …
[HTML][HTML] 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 …
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Ai based waste classifier with thermo-rapid composting
SK Behera, L Vasundhara, G Saisudha… - … on Power, Energy …, 2020 - ieeexplore.ieee.org
Waste management is a certainly a very complex and difficult process especially in very
large cities. It needs immense man power and also uses up other resources such as …
large cities. It needs immense man power and also uses up other resources such as …
Development of Automatic Industrial Waste Detection System for Leather Products using Artificial Intelligence
L Meria - International Transactions on Artificial Intelligence, 2023 - journal.pandawan.id
This rapid world situation led to a significant growth in the amount of waste, including in
economic activity. Due to the huge amount of waste growth every year, effective and efficient …
economic activity. Due to the huge amount of waste growth every year, effective and efficient …