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- W4383551640 endingPage "6187" @default.
- W4383551640 startingPage "6187" @default.
- W4383551640 abstract "This paper presents reported machine learning approaches in the field of Brillouin distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems from their capability to continuously monitor temperature and strain along kilometer-long optical fibers, rendering them attractive for industrial applications, such as the structural health monitoring of large civil infrastructures and pipelines. In recent years, machine learning has been integrated into the Brillouin DFOS signal processing, resulting in fast and enhanced temperature, strain, and humidity measurements without increasing the system’s cost. Machine learning has also contributed to enhanced spatial resolution in Brillouin optical time domain analysis (BOTDA) systems and shorter measurement times in Brillouin optical frequency domain analysis (BOFDA) systems. This paper provides an overview of the applied machine learning methodologies in Brillouin DFOSs, as well as future perspectives in this area." @default.
- W4383551640 created "2023-07-08" @default.
- W4383551640 creator A5026236248 @default.
- W4383551640 creator A5083143431 @default.
- W4383551640 date "2023-07-06" @default.
- W4383551640 modified "2023-10-14" @default.
- W4383551640 title "Machine Learning Approaches in Brillouin Distributed Fiber Optic Sensors" @default.
- W4383551640 cites W1967320885 @default.
- W4383551640 cites W1968969471 @default.
- W4383551640 cites W1976035428 @default.
- W4383551640 cites W1982903122 @default.
- W4383551640 cites W1988033711 @default.
- W4383551640 cites W1988790447 @default.
- W4383551640 cites W2001262528 @default.
- W4383551640 cites W2002248157 @default.
- W4383551640 cites W2008707230 @default.
- W4383551640 cites W2010720272 @default.
- W4383551640 cites W2010865206 @default.
- W4383551640 cites W2021931079 @default.
- W4383551640 cites W2026131661 @default.
- W4383551640 cites W2030119040 @default.
- W4383551640 cites W2032173218 @default.
- W4383551640 cites W2032476719 @default.
- W4383551640 cites W2039071867 @default.
- W4383551640 cites W2050248619 @default.
- W4383551640 cites W2053919420 @default.
- W4383551640 cites W2064091493 @default.
- W4383551640 cites W2064634125 @default.
- W4383551640 cites W2066442872 @default.
- W4383551640 cites W2071406552 @default.
- W4383551640 cites W2073327006 @default.
- W4383551640 cites W2107446735 @default.
- W4383551640 cites W2110118110 @default.
- W4383551640 cites W2121971770 @default.
- W4383551640 cites W2135583107 @default.
- W4383551640 cites W2153601155 @default.
- W4383551640 cites W2208353974 @default.
- W4383551640 cites W2295124130 @default.
- W4383551640 cites W2299632326 @default.
- W4383551640 cites W2301937402 @default.
- W4383551640 cites W2326395179 @default.
- W4383551640 cites W2326885530 @default.
- W4383551640 cites W2346062991 @default.
- W4383551640 cites W2415062016 @default.
- W4383551640 cites W2584896803 @default.
- W4383551640 cites W2657631929 @default.
- W4383551640 cites W2748691329 @default.
- W4383551640 cites W2749931539 @default.
- W4383551640 cites W2752623846 @default.
- W4383551640 cites W2771220153 @default.
- W4383551640 cites W2771301465 @default.
- W4383551640 cites W2771855941 @default.
- W4383551640 cites W2782773507 @default.
- W4383551640 cites W2792888370 @default.
- W4383551640 cites W2794259469 @default.
- W4383551640 cites W2809915624 @default.
- W4383551640 cites W2851346441 @default.
- W4383551640 cites W2884982909 @default.
- W4383551640 cites W2888812645 @default.
- W4383551640 cites W2895786783 @default.
- W4383551640 cites W2895826775 @default.
- W4383551640 cites W2898768578 @default.
- W4383551640 cites W2900763611 @default.
- W4383551640 cites W2900997988 @default.
- W4383551640 cites W2901860749 @default.
- W4383551640 cites W2909808710 @default.
- W4383551640 cites W2913151244 @default.
- W4383551640 cites W2913412788 @default.
- W4383551640 cites W2916850996 @default.
- W4383551640 cites W2917748282 @default.
- W4383551640 cites W2922073769 @default.
- W4383551640 cites W2947066362 @default.
- W4383551640 cites W2951050388 @default.
- W4383551640 cites W2953212672 @default.
- W4383551640 cites W2955325220 @default.
- W4383551640 cites W2965871330 @default.
- W4383551640 cites W2966209250 @default.
- W4383551640 cites W2968183423 @default.
- W4383551640 cites W2988158872 @default.
- W4383551640 cites W2989278094 @default.
- W4383551640 cites W2991295455 @default.
- W4383551640 cites W2993853848 @default.
- W4383551640 cites W2995454689 @default.
- W4383551640 cites W2995810525 @default.
- W4383551640 cites W2999653953 @default.
- W4383551640 cites W3000509843 @default.
- W4383551640 cites W3000570840 @default.
- W4383551640 cites W3001715844 @default.
- W4383551640 cites W3005542385 @default.
- W4383551640 cites W3007318434 @default.
- W4383551640 cites W3011487871 @default.
- W4383551640 cites W3012045274 @default.
- W4383551640 cites W3014624295 @default.
- W4383551640 cites W3016213102 @default.
- W4383551640 cites W3037288284 @default.
- W4383551640 cites W3037304596 @default.
- W4383551640 cites W3041124972 @default.
- W4383551640 cites W3042701977 @default.