Efficient future waste management: a learning-based approach with deep neural networks for smart system (LADS)
Waste segregation, management, transportation, and disposal must be carefully managed to
reduce the danger to patients, the public, and risks to the environment's health and safety …
reduce the danger to patients, the public, and risks to the environment's health and safety …
Machine learning-based automatic litter detection and classification using neural networks in smart cities
M Malik, C Prabha, P Soni, V Arya… - … Journal on Semantic …, 2023 - igi-global.com
Abstract Machine learning and deep learning are one of the most sought-after areas in
computer science which are finding tremendous applications ranging from elementary …
computer science which are finding tremendous applications ranging from elementary …
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 …
A survey on waste detection and classification using deep learning
Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and developing countries. The waste or trash …
development, particularly in developed and developing countries. The waste or trash …
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 …
[HTML][HTML] Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild
The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …
landfills, causing significant environmental pollution. Waste recycling is decisive in …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
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 …
[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 …