Enhanced Accuracy in Optical Fiber Bending Detection with Machine Learning against Accumulated ASE Noise.
Yuichiro NishikawaAkira HiranoPublished in: OECC/PSC (2022)
Keyphrases
- optical fiber
- machine learning
- detection rate
- detection accuracy
- high sensitivity
- high accuracy
- detection algorithm
- low signal to noise ratio
- false positives
- error rate
- false positive rate
- noise sensitivity
- signal detection
- missing data
- prediction accuracy
- false alarms
- noise level
- signal to noise ratio
- automatic detection
- decision trees
- pattern recognition
- noisy environments
- noise immunity
- data mining
- object detection
- noise model
- machine learning algorithms
- detection method
- support vector machine classifier
- knowledge acquisition
- supervised learning
- figure of merit
- active learning