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Model-Based Reinforcement Learning and Neural-Network-Based Policy Compression for Spacecraft Rendezvous on Resource-Constrained Embedded Systems., , , , , , и . IEEE Trans. Ind. Informatics, 19 (1): 1107-1116 (2023)PAUC: Power-Aware Utilization Control in Distributed Real-Time Systems., , , и . IEEE Trans. Ind. Informatics, 6 (3): 302-315 (2010)ECFA: An Efficient Convergent Firefly Algorithm for Solving Task Scheduling Problems in Cloud-Edge Computing., , , , и . IEEE Trans. Serv. Comput., 16 (5): 3280-3293 (сентября 2023)Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (7): 9430-9441 (2022)Efficient Spiking Neural Networks With Logarithmic Temporal Coding., , , , и . IEEE Access, (2020)Online optimization for scheduling preemptable tasks on IaaS cloud systems., , , , , и . J. Parallel Distributed Comput., 72 (5): 666-677 (2012)Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming., , и . Comput. J., 53 (7): 1071-1091 (2010)Deep Learning Models for Real-time Human Activity Recognition with Smartphones., , , , и . Mob. Networks Appl., 25 (2): 743-755 (2020)Special Issue on High Performance Computing, Communication and Embedded Software/Systems., , и . J. Syst. Archit., (2016)Energy-Constrained Scheduling for Weakly Hard Real-Time Systems Using Standby-Sparing., , , , и . ACM Trans. Design Autom. Electr. Syst., 29 (2): 29:1-29:35 (марта 2024)