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Regularization and Feedforward artificial neural network training with noise
Proceedings of the International Joint Conference on Neural Networks, 2003., 2004Regularization is a method used for controlling the complexity of models. Explicit regularization uses a modifier term, incorporating a-priori knowledge about the function to be approximated by Feedforward Artificial Networks, that is added to the risk functional and implicit regularization where noise is added to the system variables during training ...
Pravin Chandra, Yogesh Singh
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Noise Optimization in Artificial Neural Networks
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022Li Xiao 0005 +3 more
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PIV Measurements of Buffet with Artificial Noise
2017The transonic buffet flow field around supercritical airfoils is dominated by self-sustained shock wave oscillations on the suction side of the wing. Current theories assume that this unsteadiness is driven by a feedback loop of disturbances in the flow field downstream of the shock wave of which the upstream propagating part is formed by acoustic ...
Antje Feldhusen-Hoffmann +2 more
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Fingerprint Embedding Authentication with Artificial Noise: MISO Regime
2019 IEEE Conference on Communications and Network Security (CNS), 2019We apply artificial noise to the fingerprint embedding authentication framework to improve information-theoretic authentication for the MISO channel. Instead of optimizing for secrecy capacity, we examine the trade-off between message rate, authentication, and key security.
Jake Bailey Perazzone +3 more
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Artificial noise-aided secure beamforming for multigroup multicast
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018We investigate the physical layer security for multiple-input single-output (MISO) multigroup multicast system in the presence of multiple eavesdroppers (Eves). To elaborate, we aim to tackle the secrecy rate maximization (SRM) problem of the multicast system by proposing an algorithm for secure beam-forming.
Wanjik Kim +3 more
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Artificial Noise Elimination: From the Perspective of Eavesdroppers
IEEE Transactions on Communications, 2022Hong Niu 0001 +3 more
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Secrecy Degradation for Inevitable Phase Noise in Artificial Noise Shielded FH Systems
2021 IEEE Globecom Workshops (GC Wkshps), 2021Changqing Song +4 more
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Spatial Modulation Covert Communication Assisted By Artificial Noise
2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2023Luying Huang, Jing Lei 0001, Ying Huang
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