Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
1 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India 2 P.G. Department of Computer Science, Government Arts and Science College, Madurai, Tamil Nadu, India ...
Jose Carrion and his partner, Jenny Sanchez, took their pit bull, Duke, to the new dog park nestled in the middle of the Castle Hill Houses on Monday afternoon. It had only been two days since the ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...