Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network

J Li, J Chen, B Sheng, P Li, P Yang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …

Smartphone-based bulky waste classification using convolutional neural networks

H Wang, Y Li, LM Dang, J Ko, D Han… - Multimedia Tools and …, 2020 - Springer
The rapid urbanization process is escalating the urban waste problem, and ineffective
management has worsened the issue, leading to severe consequences to the population …

Transfer learning-based method for automated e-waste recycling in smart cities

N Abou Baker, P Szabo-Müller… - … transactions on smart …, 2021 - publications.eai.eu
INTRODUCTION: Sorting a huge stream of waste accurately within a short period can be
done with the support of digitalization, particularly Artificial Intelligence, instead of traditional …

Waste detection system based on data augmentation and YOLO_EC

J Fan, L Cui, S Fei - Sensors, 2023 - mdpi.com
The problem of waste classification has been a major concern for both the government and
society, and whether waste can be effectively classified will affect the sustainable …

Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
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 …

Smart bin (waste segregation and optimisation)

W Pereira, S Parulekar, S Phaltankar… - … conference on artificial …, 2019 - ieeexplore.ieee.org
Smart bin has multiple features and its main feature is garbage segregation. Smart bin will
have 4 different compartments for the waste: for plastic waste, for wet waste, for dry waste …

Valuable waste classification modeling based on ssd-mobilenet

S Thokrairak, K Thibuy… - 2020-5th International …, 2020 - ieeexplore.ieee.org
One of the most challenging classifications is the waste classification. If this can be done
automatically, it will have a great use in waste management industry in terms of time and …

Waste image classification based on transfer learning and convolutional neural network

Q Zhang, Q Yang, X Zhang, Q Bao, J Su, X Liu - Waste Management, 2021 - Elsevier
The rapid economic and social development has led to a rapid increase in the output of
domestic waste. How to realize waste classification through intelligent methods has become …

An IoT based efficient waste collection system with smart bins

KF Haque, R Zabin, K Yelamarthi… - 2020 IEEE 6th World …, 2020 - ieeexplore.ieee.org
Waste collection and management is an integrated part of both city and village life. Lack of
optimized and efficient waste collection system vastly affect public health and costs more …

[HTML][HTML] Deep learning-based waste detection in natural and urban environments

S Majchrowska, A Mikołajczyk, M Ferlin… - Waste Management, 2022 - Elsevier
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 …