J, N. A., MQ, T., JS, J., JC, M., MR, V., & SN, D. (2026). Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. Sensors (Basel, Switzerland), 26(2), . https://doi.org/10.3390/s26020561
Chicago Style (17th ed.) CitationJ, Nesackon Abraham, Tran MQ, Jayaraj JS, Matos JC, Valluzzi MR, and Dang SN. "Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour." Sensors (Basel, Switzerland) 26, no. 2 (2026). https://doi.org/10.3390/s26020561.
MLA (9th ed.) CitationJ, Nesackon Abraham, et al. "Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour." Sensors (Basel, Switzerland), vol. 26, no. 2, 2026, https://doi.org/10.3390/s26020561.