Abstract: Single-domain generalization (SDG) in fault diagnosis aims to train a model that generalizes to unseen conditions using data from a single operating condition. Despite its promise, SDG faces ...
Abstract: With the proliferation of ultra-high-definition (UHD) imaging devices, low-light image enhancement (LLIE) faces new challenges in both visual fidelity and computational efficiency. In this ...
This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...
Abstract: Approximate dynamic programming (ADP) is the standard technique to derive optimal policies in finite-horizon stochastic multistage optimal decision problems, with continuous state space. Yet ...
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