Abstract: Based on the principles of three-dimensional laser scanning, this study conducted comprehensive acquisition, denoising, dataset generation, and 3D reconstruction of surface data for asphalt ...

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 ...