research
∙
07/30/2023
MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections
Autonomous driving technology is poised to transform transportation syst...
share
research
∙
07/29/2023
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
With the integration of Autonomous Vehicles (AVs) into our transportatio...
research
∙
04/25/2023
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis
Under the global COVID-19 crisis, accurate diagnosis of COVID-19 from Ch...
research
∙
09/27/2022
A Review: Random Walk in Graph Sampling
Graph sampling is a technique to pick a subset of vertices and/ or edges...
research
∙
09/26/2022
Efficient Random Walk based Sampling with Inverse Degree
Random walk sampling methods have been widely used in graph sampling in ...
research
∙
09/26/2022
Weighted Jump in Random Walk Graph Sampling
Random walk based sampling methods have been widely used in graph sampli...
research
∙
08/03/2022
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
The role of chest X-ray (CXR) imaging, due to being more cost-effective,...
research
∙
05/12/2022
Sampling Online Social Networks: Metropolis Hastings Random Walk and Random Walk
As social network analysis (SNA) has drawn much attention in recent year...
research
∙
11/06/2020
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network
Recently, the outbreak of the novel Coronavirus disease 2019 (COVID-19) ...
research
∙
06/22/2018
