How hair and skin characteristics affect brain imaging: Making fNIRS research more inclusive

Functional near-infrared spectroscopy (fNIRS) is a promising non-invasive neuroimaging technique that works by detecting ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

Image Classification Model for Data Sentry of Plant Diseases Using Convolutional Neural Networks

Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...
The Hacker News

FBI Warns of UNC6040 and UNC6395 Targeting Salesforce Platforms in Data Theft Attacks

The U.S. Federal Bureau of Investigation (FBI) has issued a flash alert to release indicators of compromise (IoCs) associated with two cybercriminal groups tracked as UNC6040 and UNC6395 for ...
Frontiers

Advancing NFL win prediction: from Pythagorean formulas to machine learning algorithms

This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023). Specifically, we ...
KFVS12

SEMO student club explores AI programming, cloud computing

CAPE GIRARDEAU, Mo. (KFVS) - A student club at SEMO is providing students of all studies a space to explore Artificial Intelligence(AI) and cloud computing outside of the classroom. President of the ...
Frontiers

Task-specific CNN size reduction through content-specific pruning

The widespread and growing use of flying unmanned aerial vehicles (UAVs) is attributed to their high spatial mobility, autonomous control, and lower cost compared to usual manned flying vehicles.