Towards Low-cost Plastic Recognition using Machine Learning and Multi-spectra Near-infrared Sensor
Author:
Affiliation:
1. University of Bath,Department of Electronic & Electrical Engineering, and Multimodal Interaction and Robot Active Perception (inte-R-action) Lab,UK
Funder
EPSRC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10324456/10324848/10325140.pdf?arnumber=10325140
Reference20 articles.
1. Detection of plastic articles behind metal layers of variable thickness on dual-energy X-ray images using artificial neural networks
2. Recycling waste classification using optimized convolutional neural network
3. Plastic Classification with X-ray Absorption Spectroscopy Based on Back Propagation Neural Network
4. Detection of Brominated Plastics from E-Waste by Short-Wave Infrared Spectroscopy
5. Spectroscopy: A promising tool for plastic waste management
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Low-Cost Recognition of Plastic Waste Using Deep Learning and a Multi-Spectral Near-Infrared Sensor;Sensors;2024-04-28
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