[HTML][HTML] 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 …
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 …
[PDF][PDF] Trash classification: classifying garbage using deep learning
I Mittal, A Tiwari, B Rana, P Singh - Journal of engineering …, 2020 - researchgate.net
Officials in developing countries like India usually acknowledge the need for better
management. However, little efforts are done to improve the situation, and changes take a …
management. However, little efforts are done to improve the situation, and changes take a …
[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 …
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 …
Smart waste management and classification system for smart cities using deep learning
For modern city environments to be renewable and clean, waste management and recycling
are essential. Solid waste management, disposal, and recycling are issues in many …
are essential. Solid waste management, disposal, and recycling are issues in many …
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 …
Trash and recycled material identification using convolutional neural networks (CNN)
The aim of this research is to improve municipal trash collection using image processing
algorithms and deep learning technologies for detecting trash in public spaces. This …
algorithms and deep learning technologies for detecting trash in public spaces. This …
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 …
Automatic image-based waste classification
The management of solid waste in large urban environments has become a complex
problem due to increasing amount of waste generated every day by citizens and companies …
problem due to increasing amount of waste generated every day by citizens and companies …