Chen, Y., & Mir, M. (2025). An intrusion detection system for industrial Io T using CNN-LSTM and reptile search algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications, 28(7). https://doi.org/10.1007/s10586-024-05086-y
ISO-690 (author-date, English)CHEN, Yang und MIR, Mahdi, 2025. An intrusion detection system for industrial Io T using CNN-LSTM and reptile search algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 September 2025. Vol. 28, no. 7, . DOI 10.1007/s10586-024-05086-y.
Modern Language Association 9th editionChen, Y., und M. Mir. „An Intrusion Detection System for Industrial Io T Using CNN-LSTM and Reptile Search Algorithm“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 28, Nr. 7, September 2025, https://doi.org/10.1007/s10586-024-05086-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Chen, Yang/Mir, Mahdi: An intrusion detection system for industrial Io T using CNN-LSTM and reptile search algorithm, Cluster Computing: The Journal of Networks, Software Tools and Applications 2025,
Emerald - HarvardChen, Y. und Mir, M. (2025), „An intrusion detection system for industrial Io T using CNN-LSTM and reptile search algorithm“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 28 No. 7, verfügbar unter:https://doi.org/10.1007/s10586-024-05086-y.