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cs.AI2026
DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing
Tobias J. Bauer, Christian Riess, Daniel Loebenberger +1
Semantic hashing methods for generating short binary hash codes that allow efficient approximate nearest neighbor search in high-dimensional data spaces have gained extensive consi…
cs.AI2026
Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection
Julian Oelhaf, Georg Kordowich, Changhun Kim +5
The increasing complexity of modern power systems, driven by the integration of inverter-based and distributed energy resources, challenges the reliability of conventional protecti…