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

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

SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation

Abstract: This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex ...
Frontiers

A pipelined, resource-efficient convolutional neural network architecture for detecting and diagnosing Alzheimer's disease using brain sMRI

1 School of Electrical Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu, India 2 Center for e-Automation Technologies and School of Electrical Engineering, Vellore Institute of ...
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 ...