ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...

Abstract: Class-incremental multi-label stream classification (class-incremental MLSC) requires learning algorithms to adapt to concept drifts, perform single-pass online learning, and handle emerging ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

When you realize that your apartment has a problem that no one disclosed, who gets the blame? By Jill Terreri Ramos Q: I recently bought a co-op in Manhattan. During the due-diligence process before ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

To address this challenge, this paper proposes a fault diagnosis algorithm based on multi-channel nearest neighbor convolutional networks. By incorporating the KNN method, the algorithm can ...

The planets are all too hot for life as we know it, but astronomers haven’t given up searching for more planets in Barnard's Star's habitable zone. When you purchase through links on our site, we may ...