polito.it
Politecnico di Torino (logo)
Webthesis
Libraries

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, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2024

[img]
Preview
 PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.
Download (49MB) | Preview
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: Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering)
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
Modify record (reserved for operators) Modify record (reserved for operators)