Pietrantuono, R., Cotroneo, D., Andrade, E., & Machida, F. (2022, December). An Empirical Study on Software Aging of Long-Running Object Detection Algorithms. IEEE International Conference on Software Quality, Reliability and Security (Online), 1091-1102. https://doi.org/10.1109/QRS57517.2022.00112
Chicago Style (17th ed.) CitationPietrantuono, Roberto, Domenico Cotroneo, Ermeson Andrade, and Fumio Machida. "An Empirical Study on Software Aging of Long-Running Object Detection Algorithms." IEEE International Conference on Software Quality, Reliability and Security (Online) Dec. 2022: 1091-1102. https://doi.org/10.1109/QRS57517.2022.00112.
MLA (9th ed.) CitationPietrantuono, Roberto, et al. "An Empirical Study on Software Aging of Long-Running Object Detection Algorithms." IEEE International Conference on Software Quality, Reliability and Security (Online), Dec. 2022, pp. 1091-1102, https://doi.org/10.1109/QRS57517.2022.00112.