Abstract: To address the issue of sharing qualitative models between different near-infrared spectrometers, this study explores the effectiveness of calibration transfer techniques. Two different ...
Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...
Nearest Neighbor Search (NNS) is a fundamental problem in data structures with wide-ranging applications, such as web search, recommendation systems, and, more recently, retrieval-augmented ...
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