IEEE

Spatio-Temporal Propagation-Aware Graph Neural Network for Traffic Flow Prediction

Abstract: Traffic flow prediction is fundamental to intelligent transportation systems, requiring accurate modeling of complex spatio-temporal dependencies. Existing methods typically assume ...
IEEE

Transformer and Graph Neural Network-Based Federated Learning for Cellular Traffic Prediction With Sustainability Analysis

Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...
GitHub

Neural-Network-with-Financial-Time-Series-Data

An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
GitHub

Neural-Network-with-Financial-Time-Series-Data

Complete rewrite of News downloader, removed Newsapi in order to get full access to NYTImes data for free Moving Average Convergence/Divergence oscillator (MACD ...