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Comparative Analysis on the Deployment of Machine Learning Algorithms in the Distributed Brillouin Optical Time Domain Analysis (BOTDA) Fiber Sensor

This paper demonstrates a comparative analysis of five machine learning (ML) algorithms for improving the signal processing time and temperature prediction accuracy in Brillouin optical time domain analysis (BOTDA) fiber sensor. The algorithms analyzed were generalized linear model (GLM), deep learn...

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Detaylı Bibliyografya
Asıl Yazarlar: Nur Dalilla Nordin, Mohd Saiful Dzulkefly Zan, Fairuz Abdullah
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2020-09-01
Seri Bilgileri:Photonics
Konular:
Online Erişim:https://www.mdpi.com/2304-6732/7/4/79
Etiketler: Etiketle
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