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 ...
Devdiscourse

How AI is transforming regulatory oversight in cryptocurrency market

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

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

Enhancing Amazon Product Review Analysis by Using Bidirectional LSTM Neural Networks for Deep Multi-Domain Sentiment

Abstract: This paper shows deep multi-domain sentiment analysis utilizing bidirectional Long Short-Term Memory (LSTM) for extensive experimentation and application on various product reviews in the ...
IEEE

Exploring Deep Learning Architectures for Mental Health Assessment: A Comparative Analysis

Abstract: The major consequences of the covid-19 pandemic have influenced the question of the ability of anger - especially depression and anxiety - to dominate public discourse. The aim of this ...
GitHub

PeriodicWave: Neural Network Variational Monte Carlo for Solids

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
C&EN

NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions

MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...