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Karapanagiotis, Christos
31  results:
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1

Distributed fiber optic sensors for structural health monit..:

Karapanagiotis, Christos ; Schukar, Marcus ; Krebber, Katerina
tm - Technisches Messen.  91 (2024)  3-4 - p. 168-179 , 2024
Link: https://doi.org/10.1515/..
 
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2

Machine Learning Approaches in Brillouin Distributed Fiber ..:

Karapanagiotis, Christos ; Krebber, Katerina
Sensors.  23 (2023)  13 - p. 6187 , 2023
Link: https://doi.org/10.3390/..
 
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3

A collection of machine learning assisted distributed fiber..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Krebber, Katerina
tm - Technisches Messen.  90 (2023)  3 - p. 177-195 , 2023
Link: https://doi.org/10.1515/..
 
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4

Machine learning assisted BOFDA for simultaneous temperatur..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Krebber, Katerina
Optics Express.  31 (2023)  3 - p. 5027 , 2023
Link: https://doi.org/10.1364/..
 
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5

Distributed humidity fiber-optic sensor based on BOFDA usin..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Wosniok, Aleksander.
Optics Express.  30 (2022)  8 - p. 12484 , 2022
Link: https://doi.org/10.1364/..
 
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6

Machine learning predictions of surface migration barriers ..:

Martynec, Thomas ; Karapanagiotis, Christos ; Klapp, Sabine H. L..
Communications Materials.  2 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

Time-Efficient Convolutional Neural Network-Assisted Brillo..:

Karapanagiotis, Christos ; Wosniok, Aleksander ; Hicke, Konstantin.
Sensors.  21 (2021)  8 - p. 2724 , 2021
Link: https://doi.org/10.3390/..
 
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8

Real-time dynamic strain sensing in optical fibers using ar..:

Liehr, Sascha ; Jäger, Lena Ann ; Karapanagiotis, Christos..
Optics Express.  27 (2019)  5 - p. 7405 , 2019
Link: https://doi.org/10.1364/..
 
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9

Fast fitting of reflectivity data of growing thin films usi..:

Greco, Alessandro ; Starostin, Vladimir ; Karapanagiotis, Christos...
Journal of Applied Crystallography.  52 (2019)  6 - p. 1342-1347 , 2019
Link: https://doi.org/10.1107/..
 
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10

Machine learning assisted BOFDA for simultaneous temperatur..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Krebber, Katerina
https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/56915.  , 2023
Link: https://opus4.kobv.de/op..
 
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11

Machine Learning Approaches in Brillouin Distributed Fiber ..:

Karapanagiotis, Christos ; Krebber, Katerina
https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/58014.  , 2023
Link: https://opus4.kobv.de/op..
 
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12

Eine Sammlung durch Maschinelles Lernen unterstützter Verte..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Krebber, Katerina
https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/56904.  , 2023
Link: https://opus4.kobv.de/op..
 
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13

Distributed humidity fiber-optic sensor based on BOFDA usin..:

Karapanagiotis, Christos ; Hicke, Konstantin ; Wosniok, Aleksander.
https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/54629.  , 2022
Link: https://opus4.kobv.de/op..
 
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14

Machine learning predictions of surface migration barriers ..:

Martynec, T ; Karapanagiotis, Christos ; Klapp, S. H. L.
https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/53252.  , 2021
Link: https://opus4.kobv.de/op..
 
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15

Communications Materials / Machine learning predictions of ..:

Martynec, Thomas ; Karapanagiotis, Christos ; Klapp, Sabine.
vignette : https://unipub.uni-graz.at/titlepage/urn/urn:nbn:at:at-ubg:3-14158/128.  , 2021
Link: https://doi.org/10.1038/..
 
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