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Found 5 papers, 1 papers with code
A digital twin framework for civil engineering structures
This work proposes a predictive digital twin approach to the health monitoring, maintenance, and management planning of civil engineering structures.
Space-Fluid Adaptive Sampling by Self-Organisation
A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes.
Individual and Collective Autonomous Development
The increasing complexity and unpredictability of many ICT scenarios let us envision that future systems will have to dynamically learn how to act and adapt to face evolving situations with little or no a priori knowledge, both at the level of individual components and at the collective level.
Online structural health monitoring by model order reduction and deep learning algorithms
Within a structural health monitoring (SHM) framework, we propose a simulation-based classification strategy to move towards online damage localization.
Fully convolutional networks for structural health monitoring through multivariate time series classification
We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor systems.
