Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
Background: Single-cell multi-omics technologies capture cellular heterogeneity at unprecedented resolution, yet dimensionality reduction methods face a fundamental local–global trade-off: approaches ...
Abstract: Massive light field (LF) data bring tremendous storage and transmission challenges, making the LF compression scheme highly demanded. This paper proposes a novel LF compression method via a ...
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