IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
GitHub

Python bindings for Network Security Services (NSS) and Netscape Portable Runtime (NSPR).

python-nss-ng is a Python binding for NSS (Network Security Services) and NSPR (Netscape Portable Runtime). NSS provides cryptography services supporting SSL, TLS, PKI, PKIX, X509, PKCS*, etc. NSS is ...
来自MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
来自MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
IEEE

Graph Neural Network–Enhanced Traffic Flow Prediction using Dynamic Road Network Graphs

Abstract: Accurate prediction of traffic flow is a crucial element of intelligent transportation systems in terms of congestion mitigation, network routing and city mobility planning. Conventional ...