IEEE

A Fidelity-Based Quantum K-Nearest Neighbors (FQKNN) for Enhanced Classification

Dealing with high-dimensional data is a well-known limitation for the classic K-Nearest Neighbors (KNN) algorithm, creating substantial computational and memory overhead. While Quantum Machine ...
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 ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

1 China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 Biosensor National Special Laboratory Department of Biomedical Engineering, Zhejiang University, Hangzhou, China Introduction: Individual ...