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A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems., , , , , и . CoRR, (2019)A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms., , , , и . CSS (2), том 11983 из Lecture Notes in Computer Science, стр. 93-100. Springer, (2019)Quantitative evaluation of deep learning frameworks in heterogeneous computing environment., , , , , и . CCF Trans. High Perform. Comput., 6 (1): 94-111 (февраля 2024)ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning., , , , , и . CoRR, (2023)WIP: Sysnif: Constructing Workflow from Interleaved Logs in Intelligent IoT System., , , , , и . WOWMOM, стр. 264-267. IEEE, (2021)Blockchain-driven anomaly detection framework on edge intelligence., , , , , и . CCF Trans. Netw., 3 (3-4): 171-192 (2020)An Efficient Log Parsing Algorithm Based on Heuristic Rules., , , , , и . APPT, том 11719 из Lecture Notes in Computer Science, стр. 123-134. Springer, (2019)Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing., , , , , и . ML4CS (1), том 12486 из Lecture Notes in Computer Science, стр. 607-622. Springer, (2020)TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment., , , , , , , и . IEEE Trans. Parallel Distributed Syst., 34 (6): 1773-1788 (июня 2023)ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT., , , , , и . IEEE Internet Things J., 9 (11): 7959-7971 (2022)