98 citations · 104 across the 5 of their papers we have counts for
5 papers
IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
Jun Wang, Wei Wayne Chen, Daicong Da +2
Variable-density cellular structures can overcome connectivity and manufacturability issues of topologically optimized structures, particularly those represented as discrete densit…
Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
Zhibo Zhang, Chen Zeng, Maulikkumar Dhameliya +2
This paper proposes a multi-sensor based approach to detect, track, and localize a quadcopter unmanned aerial vehicle (UAV). Specifically, a pipeline is developed to process monocu…
Identifying Weakly Connected Subsystems in Building Energy Model for Effective Load Estimation in Presence of Parametric Uncertainty
Arpan Mukherjee, Anna Kuechle Szweda, Andrew Alegria +2
It is necessary to estimate the expected energy usage of a building to determine how to reduce energy usage. The expected energy usage of a building can be reliably simulated using…
Interpretable machine learning models: a physics-based view
Ion Matei, Johan de Kleer, Christoforos Somarakis +2
To understand changes in physical systems and facilitate decisions, explaining how model predictions are made is crucial. We use model-based interpretability, where models of physi…
Hybrid modeling: Applications in real-time diagnosis
Ion Matei, Johan de Kleer, Alexander Feldman +2
Reduced-order models that accurately abstract high fidelity models and enable faster simulation is vital for real-time, model-based diagnosis applications. In this paper, we outlin…