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Single machine learning model for plastic classification with different wavelength range spectrums
dc.contributor | Van Wunnik, Lucas Philippe |
dc.contributor | Kim, Kwanho |
dc.contributor | Carreras, Berny Alfonso |
dc.contributor.author | Luid Piñol, Victor |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses |
dc.date.accessioned | 2021-11-02T17:24:29Z |
dc.date.issued | 2021-10-14 |
dc.identifier.uri | http://hdl.handle.net/2117/355299 |
dc.description.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. |
dc.language.iso | cat |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Enginyeria dels materials |
dc.subject.lcsh | Polymers -- Spectra -- Classification -- Mathematical models |
dc.subject.lcsh | Infrared spectra -- Industrial applications |
dc.title | Single machine learning model for plastic classification with different wavelength range spectrums |
dc.type | Master thesis |
dc.subject.lemac | Polímers -- Espectres -- Classificació -- Models matemàtics |
dc.subject.lemac | Espectre infraroig -- Aplicacions industrials |
dc.identifier.slug | ETSEIB-240.161719 |
dc.rights.access | Restricted access - author's decision |
dc.date.lift | 10000-01-01 |
dc.date.updated | 2021-10-14T10:53:06Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Escola Tècnica Superior d'Enginyeria Industrial de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014) |
dc.description.sdg | Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura |