IEEE

Improving Motor Imagery-Based Brain-Computer Interfaces with Chebyshev Graph Neural Networks

Abstract: This study aims to enhance the accuracy and generalization of motor imagery-based brain-computer interface (MI-BCI) systems using a novel frequency-based graph convolutional neural network ...

CBSE class 12 IP exam: 'Do not ignore basic SQL commands and networking,' suggests teacher

The CBSE Class 12 Informatics Practices exam will be held on March 25. As 50% of the 2026 paper is expected to be ...
IEEE

Flooding Topology Algorithms for Computer Networks

Abstract: Flooding topology is a subset of initial network's links, which can be used by flooding algorithms to send broadcast messages. Use of such topology can significantly reduce network load.
AZ Central

CBS confirmed ransom note for Nancy Guthrie with key details

Authorities believe Guthrie, 84, was abducted sometime overnight, between Jan. 31 and Feb. 1, as she was last seen at about 9:30 p.m. that Saturday. While acknowledging the reports, the Sheriff’s ...
IEEE

MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces

Abstract: Event-related potentials (ERPs) reflect neurophysiological changes of the brain in response to external events and their associated underlying complex spatiotemporal feature information is ...
IEEE

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

Abstract: This research develops, compares, and analyzes both a traditional algorithm using computer vision and a deep learning model to deal with dynamic road conditions. In the final testing, the ...
IEEE

Computer Network Security Strategy Based on Data Encryption Technology

Abstract: In today's information society, the security problems of computer networks are increasingly prominent, and security threats such as Data breach and hacker attacks are emerging. Data ...