Strain FBG-Based Sensor for Detecting Fence Intruders Using Machine Learning and Adaptive Thresholding

This paper demonstrates an intruder detection system using a strain-based optical fiber Bragg grating (FBG), machine learning (ML), and adaptive thresholding to classify the intruder as no intruder, intruder, or wind at low levels of signal-to-noise ratio. We demonstrate the intruder detection syste...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Ahmad Elleathy, Faris Alhumaidan, Mohammed Alqahtani, Ahmed S. Almaiman, Amr M. Ragheb, Ahmed B. Ibrahim, Jameel Ali, Maged A. Esmail, Saleh A. Alshebeili
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-05-01
主題:	fiber Bragg grating optical sensing adaptive thresholding linear discriminant analysis logistic regression machine learning
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/11/5015