TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Applying the K Nearest Neighbor algorithm (KNN) in a microwave filter

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 ...
Philadelphia Inquirer

A K-8 Jewish day school is proposed for Washington Square West

A long vacant parking garage at 510-28 S. Eighth St. sits between some of Philadelphia’s most desirable neighborhoods, and Rabbi Yochonon Goldman hopes it could soon be the site of Center City’s only ...
Microsoft

Welfarist Formulations for Diverse Similarity Search

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 ...
IEEE

Yellowfin Tuna Meat Grading Using Computer Vision and k-Nearest Neighbors Algorithm

Abstract: This study presents a computer vision system for grading yellowfin tuna meat using the k-nearest neighbors (k-NN) algorithm. The system utilizes a studio-type light box and a high-definition ...