APA (7th ed.) Citation

Fan, L., Tong, Q., Fang, H., Zhong, W., Tam, W. C., & Liang, T. (2025). An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data. Fire Technology, 61(5), 2999. https://doi.org/10.1007/s10694-025-01713-1

Chicago Style (17th ed.) Citation

Fan, Linhao, Qi Tong, Hongqiang Fang, Wei Zhong, Wai Cheong Tam, and Tianshui Liang. "An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data." Fire Technology 61, no. 5 (2025): 2999. https://doi.org/10.1007/s10694-025-01713-1.

MLA (9th ed.) Citation

Fan, Linhao, et al. "An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data." Fire Technology, vol. 61, no. 5, 2025, p. 2999, https://doi.org/10.1007/s10694-025-01713-1.