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Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation.

, , , and . Int. J. Parallel Program., 48 (1): 61-79 (2020)

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P2PGrid: integrating P2P networks into the Grid environment., , and . Concurr. Comput. Pract. Exp., 19 (7): 1023-1046 (2007)Dynamic Channel Pruning: Feature Boosting and Suppression., , , , and . ICLR (Poster), OpenReview.net, (2019)System-wide energy minimization for real-time tasks: Lower bound and approximation., and . ACM Trans. Embed. Comput. Syst., 7 (3): 28:1-28:24 (2008)BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment., , , and . NPC, volume 11783 of Lecture Notes in Computer Science, page 345-349. Springer, (2019)Optimal Remapping in Dynamic Bulk Synchronous Computations via a Stochastic Control Approach., , and . IEEE Trans. Parallel Distributed Syst., 14 (1): 51-62 (2003)Live Virtual Machine Migration via Asynchronous Replication and State Synchronization., , , , and . IEEE Trans. Parallel Distributed Syst., 22 (12): 1986-1999 (2011)A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder., , and . CLOUD, volume 12403 of Lecture Notes in Computer Science, page 126-140. Springer, (2020)PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs., , and . CLOUD, volume 12403 of Lecture Notes in Computer Science, page 111-125. Springer, (2020)Performance and energy modeling for live migration of virtual machines., , , and . Clust. Comput., 16 (2): 249-264 (2013)On Cost-Driven Computation Offloading in the Edge: A New Model Approach., , and . CCGRID, page 488-497. IEEE, (2019)