Jun Ye Advances Neural Interface Technology Through Brain–Computer Systems and Generative AI

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
IEEE

Stuttering Detection Using LSTM and LSTM-Attention Based Convolutional Neural Network

Abstract: Stuttering is a common speech disorder which results in involuntary repetitions, prolongations, blocks or interjections while speaking. Detection and evaluation using traditional methods is ...
IEEE

Enhanced Student Placement Prediction and Skill Recommendation System using Convolutional Neural Network- Bidirectional Long Short-Term Memory with Attention Networks

Abstract: Predicting student placement results and proposing skills is crucial in education. Current systems frequently show imprecision and inadequately analyse sequential and contextual links among ...