Tech Xplore

Study maps regions with the greatest potential for green hydrogen production and use in Brazil

A study analyzing data from thousands of Brazilian municipalities identified regions with the greatest potential for ...
EdTech

AI Tools Support Personalized Learning in K–12 Education

Artificial intelligence in a K–12 setting? At the Jewish Leadership Academy in Florida, they’ve never known it any other way. As the class progresses and video is automatically captured, Panopto uses ...
news10nbc

Report of unsupervised child leads to search involving drone and K-9 unit in Webster

As of 6:30 p.m. Tuesday, Webster Police say: “Out of an abundance of caution, officers have extensively investigated last night’s report of an unsupervised child in the area of Krieger Road. All ...
IEEE

A Two-Stage Unsupervised Hybrid Approach for Customer Segmentation using Ensemble Algorithm: Noise-Aware Preprocessing using DBSCAN and Clustering with K-Means

Abstract: In today“s era of competition., adapting to new technologies has become a part of the business. To understand customers“ needs., machine learning algorithms came into play. The k-means ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
GitHub

This repository includes unsupervised (k-means clustering) and supervised (RF and CNN) machine learning models for analyzing complex surface topographies.

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
Frontiers

K-means classification of long-term global vegetation index variation

Recent global warming has driven substantial changes in terrestrial vegetation, yet long-term global patterns remain insufficiently characterized. The Normalized Difference Vegetation Index (NDVI) ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
IEEE

Unsupervised Machine Learning for Ultrasonic Flaw Detection using Gaussian Mixture Modeling, K-Means Clustering and Mean Shift Clustering

Abstract: Supervised Machine Learning (ML) algorithms such as Neural Networks, Support Vector Machines and Logistic Regression have been successfully utilized in Ultrasonic Non-Destructive Evaluation ...
Government Technology

Opinion: Teaching AI Effectively Means Learning from Past Mistakes

(TNS) — Americans have done a shoddy job of teaching reading and math to the majority of our students. Our scores, when compared to other nations — most with fewer resources — are plummeting. As a ...