IEEE

Secure and Efficient k NN Classification for Industrial Internet of Things

Abstract: The k-nearest neighbors (kNN) classification has been widely used for defective product identification and anomaly detection in the Industrial Internet of Things (IIoT). In this article, we ...
IEEE

Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification

Abstract: K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, ...
GitHub

Titanic Survival Prediction using KNN

This project predicts whether a passenger survived the Titanic disaster using the K-Nearest Neighbors (KNN) classification algorithm. The project demonstrates the complete Machine Learning workflow, ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
GitHub

IoT-Network-Intrusion-Detection-System-UNSW-NB15

To run the code, user must have the required Dataset on their system or programming environment. Upload the notebook and dataset on Jupyter Notebook or Google Colaboratory. Click on the file with ...
C&EN

Effect of Molecular Descriptor Feature Selection in Support Vector Machine Classification of Pharmacokinetic and Toxicological Properties of Chemical Agents

Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...
C&EN

Real-Time and Rapid Food Quality Monitoring Using Smart Sensory Films with Image Analysis and Machine Learning

Department of Agricultural and Biological Engineering, University of Florida, P.O. Box 110570, Gainesville, Florida 32611, United States ...