3 papers
eess.SY2025
Dual-Head Physics-Informed Graph Decision Transformer for Distribution System Restoration
Hong Zhao, Jin Wei-Kocsis, Adel Heidari Akhijahani +1
Driven by recent advances in sensing and computing, deep reinforcement learning (DRL) technologies have shown great potential for addressing distribution system restoration (DSR) u…
cs.LG2025
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method
Shubham Kose, Jin Wei-Kocsis
Emerging Knowledge Tracing (KT) models, particularly deep learning and attention-based Knowledge Tracing, have shown great potential in realizing personalized learning analysis via…
cs.CV2024
Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
Hong Zhao, Huyunting Huang, Tonglin Zhang +3
A 3D point cloud is an unstructured, sparse, and irregular dataset, typically collected by airborne LiDAR systems over a geological region. Laser pulses emitted from these systems…