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CA-STCNN: An Attention-based Hybrid Deep Learning Model for Encrypted Traffic Classification.

, , , , and . APNOMS, page 60-65. IEEE, (2023)

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Resilient Scheduling Heuristics for Rigid Parallel Jobs., , , , and . Int. J. Netw. Comput., 11 (1): 2-26 (2021)On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows., , , , , and . Int. J. High Perform. Comput. Appl., (2019)Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors., , , , , and . IEEE Trans. Computers, 71 (7): 1696-1710 (2022)Neural Acceleration of Incomplete Cholesky Preconditioners., , and . CoRR, (2024)MILP formulations for spatio-temporal thermal-aware scheduling in Cloud and HPC datacenters., , , and . Clust. Comput., 23 (2): 421-439 (2020)EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service., , , , , and . J. Syst. Archit., (2021)CA-STCNN: An Attention-based Hybrid Deep Learning Model for Encrypted Traffic Classification., , , , and . APNOMS, page 60-65. IEEE, (2023)Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts., , , , and . SC Workshops, page 488-491. ACM, (2023)URMILA: A Performance and Mobility-Aware Fog/Edge Resource Management Middleware., , , , , and . ISORC, page 118-125. IEEE, (2019)Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints., , and . ICPP, page 23:1-23:10. ACM, (2021)