Computer vision for solid waste sorting: A critical review of academic research
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …
aquatic environments, and causes economic and health problems. Accurate detection of …
Recycling waste classification using optimized convolutional neural network
WL Mao, WC Chen, CT Wang, YH Lin - Resources, Conservation and …, 2021 - Elsevier
An automatic classification robot based on effective image recognition could help reduce
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
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 …
Application of deep learning on student engagement in e-learning environments
The drastic impact of COVID-19 pandemic is visible in all aspects of our lives including
education. With a distinctive rise in e-learning, teaching methods are being undertaken …
education. With a distinctive rise in e-learning, teaching methods are being undertaken …
A multi-label waste detection model based on transfer learning
Q Zhang, Q Yang, X Zhang, W Wei, Q Bao, J Su… - Resources, Conservation …, 2022 - Elsevier
Accurate and efficient treatment of domestic waste is an important part of urban
management. Whether domestic waste can be classified effectively will affect the …
management. Whether domestic waste can be classified effectively will affect the …
SARS-CoV-2 pandemic-induced PPE and single-use plastic waste generation scenario
MS Haque, S Sharif, A Masnoon… - Waste Management & …, 2021 - journals.sagepub.com
The SARS-CoV-2 pandemic has demonstrated both positive and negative effects on the
environment. Major concerns over personal hygiene, mandated and ease in lockdown …
environment. Major concerns over personal hygiene, mandated and ease in lockdown …
Deep learning networks for real-time regional domestic waste detection
WL Mao, WC Chen, HIK Fathurrahman… - Journal of Cleaner …, 2022 - Elsevier
Waste sorting is highly labor intensive because the wide variety of waste items prohibits
automation. More recently, deep learning (DL) and computer vision technology has …
automation. More recently, deep learning (DL) and computer vision technology has …
Autonomous, onboard vision-based trash and litter detection in low altitude aerial images collected by an unmanned aerial vehicle
Public littering and discarded trash are, despite the effort being put to limit it, still a serious
ecological, aesthetic, and social problem. The problematic waste is usually localised and …
ecological, aesthetic, and social problem. The problematic waste is usually localised and …
COVID-WideNet—A capsule network for COVID-19 detection
Ever since the outbreak of COVID-19, the entire world is grappling with panic over its rapid
spread. Consequently, it is of utmost importance to detect its presence. Timely diagnostic …
spread. Consequently, it is of utmost importance to detect its presence. Timely diagnostic …