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Found 5 papers, 3 papers with code
Energy-optimal control of adaptive structures
Adaptive structures are equipped with sensors and actuators to actively counteract external loads such as wind.
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV
Clinical data usually cannot be freely distributed due to their highly confidential nature and this hampers the development of machine learning in the healthcare domain.
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms
This has hampered the development of reproducible and generalisable machine learning applications in health care.
BIG-bench Machine Learning
Generative Adversarial Network
+1
Self-Tuning State Estimation for Adaptive Truss Structures Using Strain Gauges and Camera-Based Position Measurements
In the context of control of smart structures, we present an approach for state estimation of adaptive buildings with active load-bearing elements.
A port-Hamiltonian approach to modeling the structural dynamics of complex systems
Port-Hamiltonian system models for the considered class of systems can also be constructed from the mass and stiffness matrices obtained via conventional finite element methods.
Computational Physics Systems and Control Systems and Control Dynamical Systems
