IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
IEEE

Short-Term Traffic Flow Forecast Using Regression Analysis and Graph Convolutional Neural Networks

Abstract: Short-term forecast of different traffic attributes is one of the fundamental tools used in transportation planning. Precisely, accurate predictions of traffic flow are often the basis of an ...
GitHub

Semi-Supervised Graph Imbalanced Regression

This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...
TDWI

Hands-On: Linear Regression for Data Science with Python

This course can also be delivered using R. In this hands-on class, your team will learn the fundamentals of applying linear regression to business data. In survey after survey, data professionals ...