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DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network.

, , , , , and . ICTAI, page 1474-1479. IEEE, (2021)

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Tolerance design of a 2-DOF overconstrained translational parallel robot., , , and . IEEE Trans. Robotics, 22 (1): 167-172 (2006)Anomaly detection and identification scheme for VM live migration in cloud infrastructure., , , , and . Future Gener. Comput. Syst., (2016)Real-time detection of cole diseases and insect pests in wireless sensor networks., , , and . J. Intell. Fuzzy Syst., 37 (3): 3513-3524 (2019)Kinematic Calibration of the 3-DOF Module of a 5-DOF Reconfigurable Hybrid Robot using a Double-Ball-Bar System., , , and . IROS, page 508-512. IEEE, (2006)A Multi-order Markov Chain Based Scheme for Anomaly Detection., , , , , and . COMPSAC Workshops, page 83-88. IEEE Computer Society, (2013)APT: The master-copy-free training method for quantised neural network on edge devices., , and . J. Parallel Distributed Comput., (2022)Robust Motion Averaging for Multi-view Registration of Point Sets Based Maximum Correntropy Criterion., , and . CoRR, (2022)Adaptive Precision Training for Resource Constrained Devices., , and . ICDCS, page 1403-1408. IEEE, (2020)Application of Transfer Learning in Continuous Time Series for Anomaly Detection in Commercial Aircraft Flight Data., , , , , , , , and . SmartCloud, page 13-18. IEEE, (2018)Revealing Feasibility of FMM on ASIC: Efficient Implementation of N-Body Problem on FPGA., , , , , , , , and . CSE, page 132-139. IEEE Computer Society, (2010)