Event classification from distributed interferometric sensor using neural network

Adrian Tomasov; Petr Dejdar; Ali Cem; Petr Munster; Tomas Horvath

doi:10.1364/OFS.2022.Th4.58

Event classification from distributed interferometric sensor using neural network

Adrian Tomasov
, Petr Dejdar
, Ali Cem
, Petr Munster
, Tomas Horvath

Brno University of Technology

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Abstract

The paper presents a combination of a distributed sensor based on a Mach- Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

Original language	English
Publication date	2022
DOIs	https://doi.org/10.1364/OFS.2022.Th4.58
Publication status	Published - 2022
Event	Optical Fiber Sensors 2022 - Alexandria, United States Duration: 29 Aug 2022 → 2 Sept 2022

Conference

Conference	Optical Fiber Sensors 2022
Country/Territory	United States
City	Alexandria
Period	29/08/2022 → 02/09/2022

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10.1364/OFS.2022.Th4.58

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@conference{808cd0aaca7a49ebb69683c0b33da9d6,

title = "Event classification from distributed interferometric sensor using neural network",

abstract = "The paper presents a combination of a distributed sensor based on a Mach- Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99\% accuracy in classification into 7 categories.",

author = "Adrian Tomasov and Petr Dejdar and Ali Cem and Petr Munster and Tomas Horvath",

year = "2022",

doi = "10.1364/OFS.2022.Th4.58",

language = "English",

note = "Optical Fiber Sensors 2022 ; Conference date: 29-08-2022 Through 02-09-2022",

}

TY - ABST

T1 - Event classification from distributed interferometric sensor using neural network

AU - Tomasov, Adrian

AU - Dejdar, Petr

AU - Cem, Ali

AU - Munster, Petr

AU - Horvath, Tomas

PY - 2022

Y1 - 2022

N2 - The paper presents a combination of a distributed sensor based on a Mach- Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

AB - The paper presents a combination of a distributed sensor based on a Mach- Zehnder interferometer and an artificial neural network used for event classification. The proposed system achieves almost 99% accuracy in classification into 7 categories.

U2 - 10.1364/OFS.2022.Th4.58

DO - 10.1364/OFS.2022.Th4.58

M3 - Conference abstract for conference

T2 - Optical Fiber Sensors 2022

Y2 - 29 August 2022 through 2 September 2022

ER -

Event classification from distributed interferometric sensor using neural network

Abstract

Conference

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