8 papers
Experience with Single Domain Generalization in Real World Medical Imaging Deployments
Ayan Banerjee, Komandoor Srivathsan, Sandeep K. S. Gupta
A desirable property of any deployed artificial intelligence is generalization across domains, i.e. data generation distribution under a specific acquisition condition. In medical…
Detection of Deployment Operational Deviations for Safety and Security of AI-Enabled Human-Centric Cyber Physical Systems
Bernard Ngabonziza, Ayan Banerjee, Sandeep K. S. Gupta
In recent years, Human-centric cyber-physical systems have increasingly involved artificial intelligence to enable knowledge extraction from sensor-collected data. Examples include…
Personalized Model-Based Design of Human Centric AI enabled CPS for Long term usage
Bernard Ngabonziza, Ayan Banerjee, Sandeep K. S. Gupta
Human centric critical systems are increasingly involving artificial intelligence to enable knowledge extraction from sensor collected data. Examples include medical monitoring and…
Fast Online Digital Twinning on FPGA for Mission Critical Applications
Bin Xu, Ayan Banerjee, Sandeep K. S. Gupta
Digital twinning enables real-time simulation and predictive modeling by maintaining a continuously updated virtual representation of a physical system. In mission-critical applica…
Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
Bin Xu, Ayan Banerjee, Midhat Urooj +1
Digital twins (DTs) can enable precision healthcare by continually learning a mathematical representation of patient-specific dynamics. However, mission critical healthcare applica…
Model Recovery at the Edge under Resource Constraints for Physical AI
Bin Xu, Ayan Banerjee, Sandeep K. S. Gupta
Model Recovery (MR) enables safe, explainable decision making in mission-critical autonomous systems (MCAS) by learning governing dynamical equations, but its deployment on edge de…