University of North Georgia

Students research network security

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
eLife

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
IEEE

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...
TechCrunch

So you’ve heard these AI terms and nodded along; let’s fix that

Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, ...
Nature

Development and external validation of a machine learning–based Cox model for predicting in-hospital survival in classic heatstroke: a multicenter retrospective study

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Healio

Q&A: Predicting how CPAP may impact cardiovascular disease event risk in OSA

Please provide your email address to receive an email when new articles are posted on . The risk for recurrent CVD events with CPAP use fell in adults predicted to benefit by a machine learning ...
IEEE

An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention

Abstract: It is well known that the architecture of the extreme learning machine (ELM) significantly affects its performance and how to determine a suitable set of hidden neurons is recognized as a ...
GitHub

ECG-DualNet: Atrial Fibrillation Classification in Electrocardiography using Deep Learning

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...
Science Daily

Strong as steel, light as foam: High-performance, nano-architected materials

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. The team describes how they made nanomaterials with ...
C&EN

The lab of the future is now

The laboratory of the future is a visionary concept: a goal that evolves as technology advances. Predictions are made, skeptics respond, and the vision reboots. The future offers few guarantees. But ...
Techopedia

What is Generative AI?

Generative AI models use prompts to guide content generation and use transfer learning to become more proficient. Early genAI models were built with specific data types and applications in mind. For ...