@inproceedings{0fb341ac99e7414b99dc2b2c5ead3c24,
title = "High Accuracy Vibration Sensing by using Random Interval Forest Classifier Based Distributed Fiber Sensing",
abstract = "We present a novel machine-learning technique for vibration detection, called random interval forest classifier (RIFC), using a single Mach-Zehnder interferometer based on single-mode fiber. Our method achieved 98% accuracy with very low complexity.",
author = "Brian Pamukti and Wang Zi and Liaw, {Shien Kuei} and Yang, {Ya Mei} and Totok Soehartanto and Hatta, {Agus Muhamad}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 ; Conference date: 04-08-2024 Through 09-08-2024",
year = "2024",
doi = "10.1109/CLEO-PR60912.2024.10676897",
language = "English",
series = "16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024",
address = "United States",
}