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A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning.

, , , , , , , and . Entropy, 25 (1): 135 (January 2023)

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A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning., , , , , , , and . Entropy, 25 (1): 135 (January 2023)Immunity Toward Data-Injection Attacks Using Multisensor Track Fusion-Based Model Prediction., and . IEEE Trans. Smart Grid, 8 (2): 697-707 (2017)Expectation maximization approach to data-based fault diagnostics., and . Inf. Sci., (2013)Communication Systems in Distributed Generation: A Bibliographical Review and Frameworks., , and . IEEE Access, (2020)WAMS Operations in Power Grids: A Track Fusion-Based Mixture Density Estimation-Driven Grid Resilient Approach Toward Cyberattacks., , , , , , and . IEEE Syst. J., 17 (3): 3950-3961 (September 2023)Pack-level current-split estimation for health monitoring in Li-ion batteries., , , and . ACC, page 1506-1511. IEEE, (2016)Detection of False Data Injection Attacks in Smart Grids: A Real-Time Principle Component Analysis., , , and . IECON, page 2958-2963. IEEE, (2019)A PSO-trained Adaptive Neuro-fuzzy Inference System for Fault Classification., , , , and . IJCCI (ICFC-ICNC), page 399-405. SciTePress, (2010)Model prediction-based approach to fault-tolerant control with applications., and . IMA J. Math. Control. Inf., 31 (2): 217-244 (2014)Cyber-Attacks in a Looped Energy-Water Nexus: An Inoculated Sub-Observer-Based Approach., , and . IEEE Syst. J., 14 (2): 2054-2065 (2020)