IEEE

Comparing Logistic Regression Algorithm with K-Nearest Neighbor Algorithm to Extract Features from Images for Prescriptive Analysis of Mushroom Contamination

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
ICITOpinion

The Quantum-Cryptography Cliff: From Roadmaps to Reality

Explore the challenges and opportunities of quantum cryptography in this SC Media perspective. Learn why transitioning from ...
Frontiers

Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering

1 Yibin University, School of Computer Science and Technology, Yibin, China 2 Southwest Petroleum University, School of Computer and Software, Chengdu, China Network security is the core guarantee for ...
GitHub

Approximate Sparse Nearest-Neighbor Search in OpenSearch

Since version 2.11, OpenSearch has supported neural sparse retrieval as a novel semantic search approach. Leveraging inverted index technology, this method achieves efficiency comparable to ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

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 ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

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 ...
Live Science

Moon quiz: What do you know about our nearest celestial neighbor?

How's your moon knowledge? Full, half, or total eclipse? When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. It's no surprise that throughout the ...