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Plastics in the time of COVID-19 pandemic: protector or polluter?
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 …
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
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 …
Digitalisation and intelligent robotics in value chain of circular economy oriented waste management–A review
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 …
resources. In order to achieve this goal, new approaches of Industry 4.0 are being …
Recyclable waste image recognition based on deep learning
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 …
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 …
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …
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
Timely and accurate recognition of construction waste (CW) composition can provide
yardstick information for its subsequent management (eg, segregation, determining proper …
yardstick information for its subsequent management (eg, segregation, determining proper …
Challenges for future robotic sorters of mixed industrial waste: a survey
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 …
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 …
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 …
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
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 …
recent advances in medical data assimilation and in experimental and in silico models have …