The decision of the BSA regarding the Platform has once again raised the issue of the relevance of the BSA in the Digital Paradigm but if the BSA is to go there must be some form of replacement. There ...

Conclusions: We identified several ML-based models predicting clinical outcomes with good discriminatory ability in people with DFU. Due to the focus on development and internal validation of the ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Abstract: Human activity recognition using wearable sensor data has become a significant area of research in healthcare and smart monitoring systems. This study presents a comparative analysis of four ...

The South Dakota High School Activities Association (SDHSAA) discussed a new model for classifying teams at its Board of Directors meeting on Jan. 21, but Executive Director Dan Swartos said the new ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Abstract: The Optimal Deep Learning Model and Nonlinear Features Extraction with Classification for Innovative Brain–Computer Interaction Using EEG Signals (ODECBC) model enhances BCI systems by using ...

This project implements MobileNet V2, a lightweight CNN architecture designed for mobile and embedded vision applications. It uses inverted residual blocks with linear bottlenecks to reduce ...