1. "Fiber-optic event recognition based on machine learning and sensor fusion" by J. Cai, J. Zhang, and Y. Liu. This paper describes a method for recognizing events in fiber-optic systems using machine learning and sensor fusion techniques.

  2. "Optical fiber event detection using a hybrid approach of time-domain and frequency-domain analysis" by K. K. Sharma and S. K. Arya. This paper presents a hybrid approach for detecting and classifying events in fiber-optic systems using both time-domain and frequency-domain analysis.

  3. "Fiber-optic event detection using wavelet transform and machine learning algorithms" by X. Wang, J. Chen, and Y. Liu. This paper proposes a method for detecting events in fiber-optic systems using wavelet transform and machine learning algorithms.

  4. "Event recognition in fiber-optic systems using deep learning" by H. Li, Y. Wu, and Y. Liu. This paper presents a deep learning approach for recognizing events in fiber-optic systems.

  5. "Fiber-optic event recognition based on spectral analysis and support vector machines" by C. Zhao, Y. Liu, and J. Cai. This paper describes a method for recognizing events in fiber-optic systems using spectral analysis and support vector machines

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