A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects. - Wassamon Phusakulkajorn; Jurjen Hendriks; Jan Moraal; Rolf P. B. J. Dollevoet; Zili Li 003; Alfredo Núñez (FUZZ-IEEE, 2022)

Spiking neural network with time-varying weights for rail squat detection. - Wassamon Phusakulkajorn; Jurjen Hendriks; Zili Li 003; Alfredo Núñez (Appl. Soft Comput., 2025)

A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones With Multiple Data Sources. - Wassamon Phusakulkajorn; Siwarak Unsiwilai; Ling Chang; Zili Li 003; Alfredo Núñez (IEEE Trans. Instrum. Meas., 2025)

Unsupervised Representation Learning for Monitoring Rail Infrastructures With High-Frequency Moving Vibration Sensors. - Wassamon Phusakulkajorn; Yuanchen Zeng; Zili Li 003; Alfredo Núñez (IEEE Trans. Intell. Transp. Syst., 2025)