A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...

Based on advice from cybersecurity and children’s safety experts, this practical guide explains the real risks of AI toys and ...

Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of acquiring new skills or adjusting behaviors in response to positive outcomes ...

Abstract: In this paper, a learning based Model Predictive Control (MPC) using a low dimensional residual model is proposed for autonomous driving. One of the critical challenge in autonomous driving ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Background: This study seeks to develop and validate a machine learning (ML) model for predicting atrial fibrillation (AF) recurrence at 12 months following radiofrequency catheter ablation (RFCA).

However, there is a scarcity of clear and comprehensive evidence that compares the performance of federated learning (FL) with that of the established centralized machine learning (CML) in the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...