Single machine learning model for plastic classification with different wavelength range spectrums
View/Open
single-machine-learning-model-for-plastic-classification-with-different-wavelength-range-spectrums.pdf (2,385Mb) (Restricted access)
Cita com:
hdl:2117/355299
Document typeMaster thesis
Date2021-10-14
Rights accessRestricted access - author's decision
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
A method for sorting plastic waste is developed. This method pretends to classify polymers by types using infrared spectrum despite the wavelength range of the data acquisition experiment. Thus, plastic spectrums collected in NIR or MIR wavelength ranges could be classified applying the same method.
SubjectsPolymers -- Spectra -- Classification -- Mathematical models, Infrared spectra -- Industrial applications, Polímers -- Espectres -- Classificació -- Models matemàtics, Espectre infraroig -- Aplicacions industrials
DegreeMÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014)
Collections
Files | Description | Size | Format | View |
---|---|---|---|---|
single-machine- ... length-range-spectrums.pdf![]() | 2,385Mb | Restricted access |