IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
IEEE

A Survey on Data Selection for Efficient Speech Processing

Abstract: While recent advances in speech processing have led to substantial performance improvements across diverse tasks, they often demand significantly higher computational costs and resources. To ...
IEEE

A Novel-Deep-Neural-Network-Architecture-Based GAN-DRANet for DOA Sensing With an Enhanced Performance in Low SNR

Abstract: In extremely low signal-to-noise ratio (SNR) region, the useful features of the signal are weakened by higher-power noise, making it difficult for conventional direction-of-arrival (DOA) ...
IEEE

Effect of Segmentation on Skin Lesion Classification Using Multi-Scale Convolution Neural Networks

Abstract: Addressing skin lesions is a significant medical challenge due to their complex structures. Early detection and treatment are crucial, as some lesions can be life-threatening. Recent ...
IEEE

Hand Motion Sign Language Detection Using Convolutional Neural Network (CNN) and YOLOv5 Object Detection Framework

Abstract: The majority of people who don't hear or speak depend upon sign language as their main method of communication. Sign language mastery presents particular difficulties to learners. Our system ...
IEEE

Analysis of Ring Oscillator Characteristics Induced by Line Edge Roughness Using Convolution Neural Network

Abstract: The gate-all-around field-effect transistors (GAAFETs) are highly susceptible to performance variations caused by process-induced random variation. Line ...
People

News Anchor Tearily Announces Departure from His Network in Heartfelt Speech After 10 Years on the Air

"I'm including you because you are always a part of this," California-based anchor Reggie Aqui tearfully told his viewers Michael Nied has been a digital news editor with PEOPLE since 2025. He has ...
IEEE

DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding

Abstract: Objective: Accurate decoding of electroencephalogram (EEG) signals has become more significant for the brain-computer interface (BCI). Specifically, motor imagery and motor execution (MI/ME) ...
IEEE

Multiscale Segmentation-Guided Fusion Network for Hyperspectral Image Classification

Abstract: Convolution Neural Networks (CNNs) have demonstrated strong feature extraction capabilities in Euclidean spaces, achieving remarkable success in hyperspectral image (HSI) classification ...