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Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations.

, , , , , and . ACM Trans. Model. Comput. Simul., 26 (1): 1:1-1:25 (2015)

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Phase Transition in Taxi Dynamics and Impact of Ridesharing., , , , , , and . Transp. Sci., 54 (1): 250-273 (2020)Efficient and fault tolerant HLA-based simulation. Nanyang Technological University, Singapore, (2012)Federate Migration in a Service Oriented HLA RTI., , , and . DS-RT, page 113-121. IEEE Computer Society, (2007)STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting., , , , , and . CoRR, (2024)A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data., , and . ISC2, page 1-8. IEEE, (2018)Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout., , , , , , , , and . AAAI, page 15485-15493. AAAI Press, (2023)Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs., , , , , , and . ICPADS, page 160-169. IEEE, (2018)CluFL: Cluster-driven Weighted FL Model Aggregation Strategy., , , , , , and . ICPADS, page 883-890. IEEE, (2022)Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency., , , , and . TrustCom, page 137-147. IEEE, (2020)Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting., , , , , and . FL@IJCAI, volume 13448 of Lecture Notes in Computer Science, page 130-143. Springer, (2022)