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Convolutional neural nets in chemical engineering: Foundations, computations, and applications
ArticleAbstract: In this article, we review the mathematical foundations of convolutional neural nets (CNNs) with thePalabras claves:Chemical Engineering, convolutional neural networks, grid dataAutores:Jiang S., Víctor M. ZavalaFuentes:scopusAccurate 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:scopusUsing machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
ArticleAbstract: Detection and quantification of bacterial endotoxins is important in a range of health-related contePalabras claves:Autores:Abbott N.L., Jiang S., Noh J., Park C., Smith A.D., Víctor M. ZavalaFuentes:scopus