Shengli (Bruce) Jiang
Shengli (Bruce) Jiang
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Machine Learning
Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy
To recycle the mixed plastic wastes (MPW), it is important to obtain the compositional information online in real time. We present a …
Fei Long
,
Shengli Jiang
,
Adeyinka Gbenga Adekunle
,
Victor M Zavala
,
Ezra Bar-Ziv
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Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy
We present a combination of convolutional neural network (CNN) framework and fast MIR (mid-infrared spectroscopy) for classifying …
Stas Zinchik
,
Shengli Jiang
,
Soren Friis
,
Fei Long
,
Lasse Hogstedt
,
Victor M Zavala
,
Ezra Bar-Ziv
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Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
We present a convolutional neural network (CNN) framework for classifying different types of plastic materials that are commonly found …
Shengli Jiang
,
Xu Zhuo
,
Medhavi Kamran
,
Stas Zinchik
,
Sidike Paheding
,
Armando G McDonald
,
Ezra Bar-Ziv
,
Victor M Zavala
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