Search Results for author:
Found 3 papers, 1 papers with code
MTDT: A Multi-Task Deep Learning Digital Twin
MTDT enables accurate, fine-grained estimation of loop detector waveform time series for each lane of movement, alongside successful estimation of several MOEs for each lane group associated with a traffic phase concurrently and for all approaches of an arbitrary urban intersection.
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
Traffic congestion has significant economic, environmental, and social ramifications.
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
