This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
Abstract: This paper presents FastNN, a novel accelerator architecture for efficient K-Nearest Neighbors (KNN) search in point clouds. FastNN leverages a locality-sensitive E2LSH partitioning method ...
Abstract: Diabetes is a metabolic disease with a rapidly increasing prevalence worldwide. Developing accurate diabetes risk prediction methods is crucial to enable earlier intervention and optimize ...
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