AIMC Topic: Plastics
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Machine learning-aided engineering of hydrolases for PET depolymerization.
Nature
Apr 27, 2022
Plastic waste poses an ecological challenge and enzymatic degradation offers one, potentially green and scalable, route for polyesters waste recycling. Poly(ethylene terephthalate) (PET) accounts for 12% of global solid waste, and a circular carbon e...
Grasping learning, optimization, and knowledge transfer in the robotics field.
Scientific reports
Mar 16, 2022
Service robotics is a fast-developing sector, requiring embedded intelligence into robotic platforms to interact with the humans and the surrounding environment. One of the main challenges in the field is robust and versatile manipulation in everyday...
Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning.
The Science of the total environment
Feb 19, 2022
Microplastics quantification and classification are demanding jobs to monitor microplastic pollution and evaluate the potential health risks. In this paper, microplastics from daily supplies in diverse chemical compositions and shapes are imaged by s...
Deep learning-based waste detection in natural and urban environments.
Waste management (New York, N.Y.)
Dec 14, 2021
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 industry demands high efficiency. Current studies towards automatic ...
Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses.
Analytical chemistry
Nov 22, 2021
Herein we report on a deep-learning method for the removal of instrumental noise and unwanted spectral artifacts in Fourier transform infrared (FTIR) or Raman spectra, especially in automated applications in which a large number of spectra have to be...
A Soft Robotic Balloon Endoscope for Airway Procedures.
Soft robotics
Nov 18, 2021
Soft robots can provide advantages for medical interventions given their low cost and their ability to change shape and safely apply forces to tissue. This article explores the potential for their use for endoscopically-guided balloon dilation proced...
Occurrence and concentration of 20-100 μm sized microplastic in highway runoff and its removal in a gross pollutant trap - Bioretention and sand filter stormwater treatment train.
The Science of the total environment
Oct 21, 2021
Microplastic pollution of stormwater can be a serious threat to the environment. Gross pollutant trap (GPT) - bioretention treatment trains have been shown previously to treat (inter alia) particulate stormwater pollutants including microplastic part...
A comparative study of deep learning-based network model and conventional method to assess beach debris standing-stock.
Marine pollution bulletin
May 11, 2021
The conventional survey of marine debris standing-stock has various drawbacks such as high cost and inaccuracy because the total amount of debris in the whole beach is inferred using the results of the manual investigation in selected narrow areas. T...
Development of the Ultralight Hybrid Pneumatic Artificial Muscle: Modelling and optimization.
PloS one
Apr 22, 2021
Pneumatic artificial muscles (PAMs) are one of the key technologies in soft robotics, and they enable actuation in mobile robots, in wearable devices and exoskeletons for assistive and rehabilitative purposes. While they recently showed relevant impr...
Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Mar 21, 2021
In the increasingly pressing context of improving recycling, optical technologies present a broad potential to support the adequate sorting of plastics. Nevertheless, the commercially available solutions (for example, employing near-infrared spectros...
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