Showing 1–12 of 12 results
/ Date/ Name
Aug 4, 2023Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir ComputingApr 26, 2023Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)Jul 15, 2020Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5GOct 8, 2023Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive ProcessingMar 2, 2023Distributed Learning Meets 6G: A Communication and Computing PerspectiveOct 9, 2024Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive ProcessingNov 10, 2020Learning for Integer-Constrained Optimization through Neural Networks with Limited TrainingMar 15, 2020RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited TrainingDec 1, 2020Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM DetectionJun 28, 2021Federated Dynamic Spectrum AccessNov 28, 2023Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference AnalysisMar 5, 2024Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG