IEEE

Traffic Flow Prediction in Intelligent Transportation using Spatial-Temporal Graph Convolution Attention Module

Abstract: The timely and accurate traffic flow prediction is critical for stable and safe Intelligent Transportation System (ITS). Due to the nonlinearity and difficulty of traffic, the existing ...
IEEE

Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks

Abstract: Representations are crucial for a robot to learn effective navigation policies. Recent work has shown that mid-level perceptual abstractions, such as depth estimates or 2D semantic ...
IEEE

Robust Diagnosability Analysis Using Basis Reachability Graph

Abstract: Fault-freeness is one of the necessary guarantees for healthy and stable operations of discrete event systems. Traditional diagnostic models may fail since sensors may suffer electronic ...
IEEE

Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults

Abstract: Automatic fault detection, localization, and repairing have always been a research hot spot. Because software faults can appear anywhere in a software, it is impossible to automatically ...