Considering that the data symbols or channel parameters are unknown, we adopt a generalized likelihood ratio test (GLRT), which is known to be optimal with unknown parameters based on finite samples.

whereas the abundant unlabeled samples remain underutilized. This paper proposes a novel RUL prediction method based on unlabeled sample enhancement and contrastive learning, significantly enhancing ...

May 3, 2025 • Recorded in Chicago, with host Peter Sagal, judge and scorekeeper Bill Kurtis, Not My Job guest Natasha Rothwell, and panelists Hari Kondabolu, Peter Grosz, and Joyelle Nicole Johnson.