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Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy
ArticleAbstract: We present a combination of convolutional neural network (CNN) framework and fast MIR (mid-infraredPalabras claves:classification, IR spectra, Machine learning, plastic waste, real-timeAutores:Bar-Ziv E., Friis S., Høgstedt L., Jiang S., Long F., Víctor M. Zavala, Zinchik S.Fuentes:scopusUsing ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
ArticleAbstract: We present a convolutional neural network (CNN) framework for classifying different types of plasticPalabras claves:classification, IR spectra, Machine learning, plastic waste, real-timeAutores:Bar-Ziv E., Jiang S., Kamran M., McDonald A.G., Paheding S., Víctor M. Zavala, Xu Z., Zinchik S.Fuentes:scopusSensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks
ArticleAbstract: We report how analysis of the spatial and temporal optical responses of liquid crystal (LC) films toPalabras claves:Color Features, gas sensor, Liquid crystals, Machine learning, Spatiotemporal patternsAutores:Abbott N.L., Bao N., Jiang S., Mavrikakis M., Schauer J.J., Smith A.D., Van Lehn R.C., Víctor M. ZavalaFuentes:scopus