Plastics in the time of COVID-19 pandemic: protector or polluter?

N Parashar, S Hait - Science of the Total Environment, 2021 - Elsevier
The COVID-19 pandemic has reemphasized the indispensable role of plastics in our daily
life. Plastics in terms of personal protective equipment (PPEs) and other single-use medical …

Computer vision for solid waste sorting: A critical review of academic research

W Lu, J Chen - Waste Management, 2022 - Elsevier
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …

Digitalisation and intelligent robotics in value chain of circular economy oriented waste management–A review

R Sarc, A Curtis, L Kandlbauer, K Khodier, KE Lorber… - Waste Management, 2019 - Elsevier
The general aim of circular economy is the most efficient and comprehensive use of
resources. In order to achieve this goal, new approaches of Industry 4.0 are being …

Recyclable waste image recognition based on deep learning

Q Zhang, X Zhang, X Mu, Z Wang, R Tian… - Resources …, 2021 - Elsevier
This study aims to improve the accuracy of waste sorting through deep learning and to
provide a possibility for intelligent waste classification based on computer vision/mobile …

[HTML][HTML] Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature …

N Kroell, X Chen, K Greiff, A Feil - Waste management, 2022 - Elsevier
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

Using computer vision to recognize composition of construction waste mixtures: A semantic segmentation approach

W Lu, J Chen, F Xue - Resources, Conservation and Recycling, 2022 - Elsevier
Timely and accurate recognition of construction waste (CW) composition can provide
yardstick information for its subsequent management (eg, segregation, determining proper …

Challenges for future robotic sorters of mixed industrial waste: a survey

T Kiyokawa, J Takamatsu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To achieve recycling of mixed industrial waste toward an advanced sustainable society,
waste sorting automation through robots is crucial and urgent. For this purpose, a robot is …

A deep learning approach based hardware solution to categorise garbage in environment

T Gupta, R Joshi, D Mukhopadhyay… - Complex & Intelligent …, 2022 - Springer
Garbage detection and disposal have become one of the major hassles in urban planning.
Due to population influx in urban areas, the rate of garbage generation has increased …

Current options for characterizing, sorting, and recycling polymeric waste

DJ da Silva, H Wiebeck - Progress in Rubber, Plastics and …, 2020 - journals.sagepub.com
Several researches and technologies on polymer recycling have been driven and justified
by the uncontrolled and crescent polymer waste generation in the world. Herein, a critical …

[HTML][HTML] Mechanisms of aortic dissection: from pathological changes to experimental and in silico models

M Rolf-Pissarczyk, R Schussnig, TP Fries… - Progress in Materials …, 2024 - Elsevier
Aortic dissection continues to be responsible for significant morbidity and mortality, although
recent advances in medical data assimilation and in experimental and in silico models have …