Opinion

Oklahoma faces child care crisis that puts kids at risk | Opinion

Oklahoma DHS needs to seek alternative funding solutions. Eliminating access to safe, licensed child care is not the answer.

Word embeddings in NLP

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
EurekAlert!

AI boosts understanding of ocean dynamics and marine structure safety

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Scientific Research Publishing

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications ()

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
IEEE

Unveiling the Superiority of Unsupervised Learning on GPU Cryptojacking Detection: Practice on Magnetic Side Channel-Based Mechanism

Abstract: Ample profits of GPU cryptojacking attract hackers to recklessly invade victims’ devices, for completing specific cryptocurrency mining tasks. Such malicious invasion undoubtedly obstructs ...
Scientific Research Publishing

Nguyen, H.T., Dang, M.L. and Tran, P.Q. (2020) Unsupervised Learning for Anomaly Detection in Payment Systems. Expert Systems with Applications, 161, Article ID: 113731.

ABSTRACT: With the rise of digital transactions, e-Wallets have become prime targets for fraudulent activity. Early detection of suspicious transactions is therefore crucial to protect users and ...
Frontiers

Unsupervised machine learning model for phenogroup-based stratification in acute type A aortic dissection to identify postoperative acute gastrointestinal injury

Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic ...