IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
News-Medical.Net

New AI model protects patient privacy in ECG data

A common misperception exists that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs enhanced with artificial intelligence (AI) can contain data about a ...

Language-based AI model spots early heart disease in ECGs, reaching 94.2% accuracy

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
IEEE

ECG, Respiration, fNIRS, and Eye Tracking for Stress and Mental Workload Monitoring in Human-Machine Interaction

Abstract: Advanced human-machine interaction (AHMI) is a key concept in human factors and ergonomics (HFE), focusing on how individuals interact with systems to perform tasks efficiently. As AHMI ...