GitHub

causal-learn: Causal Discovery in Python

Causal-learn (documentation, paper) is a python package for causal discovery that implements both classical and state-of-the-art causal discovery algorithms, which is a Python translation and ...
GitHub

Computational Methods for Economists using Python, by Richard W. Evans

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
IEEE

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Abstract: As one of the key communication scenarios in the fifth-generation and also the sixth-generation (6G) mobile communication networks, ultrareliable and low-latency communications (URLLCs) will ...
IEEE

Machine Learning in IoT Security: Current Solutions and Future Challenges

Abstract: The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives. The participating nodes in IoT networks are usually resource-constrained, which ...