A Machine Learning-based anomaly detection system for commercial products

Pasquale Balsebre

A Machine Learning-based anomaly detection system for commercial products.

Rel. Fulvio Giovanni Ottavio Risso. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020

Abstract:	Applied Machine Learning and Near InfraRed Spectroscopy to address the problem of falsification of commercial goods
Relators:	Fulvio Giovanni Ottavio Risso
Academic year:	2019/20
Publication type:	Electronic
Number of Pages:	74
Additional Information:	Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea:	Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea:	New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici:	University of Luxembourg
URI:	http://webthesis.biblio.polito.it/id/eprint/15297

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