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Machine learning techniques applied to optical sensing
Djurhuus, Martin Søren Engmann
(PhD Student)
Gasulla Mestre, Ivana
(Examiner)
Bang, Ole
(Examiner)
Zibar, Darko
(Main Supervisor)
Clausen, Anders
(Supervisor)
Schmauss, Bernhard
(Supervisor)
Thévenaz, Luc
(Examiner)
Centre of Excellence for Silicon Photonics for Optical Communications
Department of Electrical and Photonics Engineering
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/12/2017
→
03/03/2021
Funding
Samfinansieret - Andet
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Processing Time
Engineering
100%
Fibre Bragg Grating Sensor
Engineering
100%
Temperature Estimation
Engineering
100%
Learning System
Chemical Engineering
100%
Simulated Data
Engineering
66%
Gaussians
Engineering
66%
Machine Learning Algorithm
Engineering
66%
Power Supply
Engineering
33%
Research output
Publications per year
2020
2020
2020
1
Ph.D. thesis
Publications per year
Publications per year
Machine learning-based methods for temperature estimation of fiber Bragg grating sensors
Djurhuus, M. S. E.,
2020
,
Technical University of Denmark
.
196 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Fibre Bragg Grating Sensor
100%
Temperature Estimation
100%
Processing Time
100%
Fiber Bragg Grating
100%
Data Processing
100%
408
Downloads (Pure)