Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...
IEEE

NBA Playoff Qualification: A Hybrid Machine Learning and Social Network Analysis Approach

Abstract: In recent years, sports data analysis has emerged as a rapidly growing research field, becoming one of the core aspects of modern sports management. It can assist coaches and sports managers ...