Design of a convolutional neural network based smart waste disposal system
In recent times, waste management problem has become a crucial challenge for
Bangladesh, which is having a detrimental impact on the environment. This paper presents …
Bangladesh, which is having a detrimental impact on the environment. This paper presents …
Classification of organic and solid waste using deep convolutional neural networks
R Faria, F Ahmed, A Das, A Dey - 2021 IEEE 9th Region 10 …, 2021 - ieeexplore.ieee.org
The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
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 …
A cost-effective smart E-bin system for garbage management using convolutional neural network
The world has accumulated an enormous amount of waste that the ways for collecting and
disposing of it are now out of human reach. The race is struggling to collect the waste and …
disposing of it are now out of human reach. The race is struggling to collect the waste and …
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 …
[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 …
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 …
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 …
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 …
Real-time mobile application for classifying solid waste material into recyclable and non-recyclable using Image Recognition and Convolutional Neural Network
M Thumiki, A Khandelwal - 2022 IEEE International Students' …, 2022 - ieeexplore.ieee.org
Several applications of deep neural network have come into the limelight these days, one of
them is the classification of solid waste material. Enormous amount of waste in generated in …
them is the classification of solid waste material. Enormous amount of waste in generated in …