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Corrections to "Multiple Mobile Charger Charging Strategy Based on Dual Partitioning Model for Wireless Rechargeable Sensor Networks".

, , , and . IEEE Access, (2023)

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Corrections to "Multiple Mobile Charger Charging Strategy Based on Dual Partitioning Model for Wireless Rechargeable Sensor Networks"., , , and . IEEE Access, (2023)GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems., , , , and . Future Gener. Comput. Syst., (2022)DPLRS: Distributed Population Learning Rate Schedule., , , , and . Future Gener. Comput. Syst., (2022)Multimobile Charger Charging Strategy Based on Dual Partitioning Model for Wireless Rechargeable Sensor Networks., , , and . IEEE Access, (2022)BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators., , , , and . DATE, page 1479-1484. IEEE, (2022)A tile-fusion method for accelerating Winograd convolutions., , , , and . Neurocomputing, (2021)Revisit and Benchmarking of Automated Quantization Toward Fair Comparison., , , , and . IEEE Trans. Computers, 73 (1): 18-29 (January 2024)OKCM: improving parallel task scheduling in high-performance computing systems using online learning., , , , , and . J. Supercomput., 77 (6): 5960-5983 (2021)Leader population learning rate schedule., , , , , , and . Inf. Sci., (April 2023)Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems., , , , and . CCF Trans. High Perform. Comput., 3 (4): 383-392 (2021)