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Evasive flow capture: A multi-period stochastic facility location problem with independent demand.

, , and . European Journal of Operational Research, 257 (2): 687-703 (2017)

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Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints., , and . Networks, 65 (1): 22-42 (2015)Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study., , , , and . IEEE Trans. Intelligent Transportation Systems, 20 (5): 1858-1869 (2019)Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model., , , , and . IEEE Micro, 35 (5): 6-14 (2015)Kernel-to-User-Mode Transition-Aware Hardware Scheduling., , , , and . IEEE Micro, 35 (4): 37-47 (2015)Data-Driven Robust Resource Allocation with Monotonic Cost Functions., , , and . Oper. Res., 70 (1): 73-94 (2022)Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core., , , , and . IEEE Comput. Archit. Lett., 14 (2): 160-163 (2015)Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study., , , and . CoRR, (2017)A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems., , , , , , and . CARLA, volume 796 of Communications in Computer and Information Science, page 3-20. Springer, (2017)Evasive flow capture: A multi-period stochastic facility location problem with independent demand., , and . European Journal of Operational Research, 257 (2): 687-703 (2017)Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs., , , , and . SBAC-PAD, page 33-40. IEEE Computer Society, (2015)