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

I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment Using a Newly Created Cricket Batsman Video Dataset

Abstract: In this study, we introduce UJ-AQA-CricketVision, a dataset comprising 8,540 video clips of cricket strokes, each annotated with detailed phase breakdowns. We develop a novel multi-variate ...
Devdiscourse

How AI transforms solar energy management and storage

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

EAGLE: Enhanced Activity Recognition in Occluded Environments With Improved GAIN and Bi-LSTM

Abstract: Activity recognition (AR) using surveillance cameras remains challenging because of the variation between the data required for deep learning and the capabilities of CCTV-based frameworks ...