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 techniques.

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With the rapid expansion of information technology, the complexity of transportation systems is increasing, which promotes the application of prediction on the field of intelligent transportation.