GitHub

Hybrid Vector/Knowledge Graph Query Engine for Enhanced Data Retrieval

We used Python==3.9.18, and we recommend using a virtual environment to install the required packages. We used a subset of the ArXiv dataset from Kaggle which contains 12,926 samples, and the the ...
IEEE

Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...
IEEE

Customized Design of Frequency-Selective Surfaces Using the Vector-Graph-Feature-Extraction Deep-Neural-Network (VGFE-DNN) Method

Abstract: In this communication, we propose the vector-graph-feature-extraction (VGFE) approach to accurately and concisely characterize details of electromagnetic metasurface (EM), and then train a ...