Fluorescence Spectroscopy empowered by Data-Driven algorithms: A fast and cost-effective approach to Environmental Monitoring and Analysis

Lorenzo Riggi

Fluorescence Spectroscopy empowered by Data-Driven algorithms: A fast and cost-effective approach to Environmental Monitoring and Analysis.

Rel. Guido Perrone, Chiara Bellezza Prinsi. Politecnico di Torino, UNSPECIFIED, 2024

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Abstract:	Fluorescence Spectroscopy empowered by Data-Driven algorithms: A fast and cost-effective approach to Environmental Monitoring and Analysis
Relators:	Guido Perrone, Chiara Bellezza Prinsi
Academic year:	2023/24
Publication type:	Electronic
Number of Pages:	147
Subjects:
Corso di laurea:	UNSPECIFIED
Classe di laurea:	New organization > Master science > LM-29 - ELECTRONIC ENGINEERING
Aziende collaboratrici:	Politecnico di Torino
URI:	http://webthesis.biblio.polito.it/id/eprint/30931

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