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eess.SP2026
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen +2
All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected inte…
eess.SP2023★ 2 cited
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification
Jinbao Zhang, Xuan Zhang, Lei Jiao +3
Neural network-based models have found wide use in automatic long-term electrocardiogram (ECG) analysis. However, such black box models are inadequate for analysing physiological s…