Fine-grained agent-based modeling to predict COVID-19 spreading and effect of policies in large-scale scenarios
Modeling and forecasting the spread of COVID-19 remains an open problem for several
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
High-performance computing and abms for high-resolution covid-19 spreading simulation
This paper presents an approach for the modeling and the simulation of the spreading of
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …
[PDF][PDF] Unsupervised continual learning from synthetic data generated with agent-based modeling and simulation: a preliminary experimentation.
Continual Learning enables to learn a variable number of tasks sequentially without
forgetting knowledge obtained from the past. Catastrophic forgetting usually occurs in neural …
forgetting knowledge obtained from the past. Catastrophic forgetting usually occurs in neural …
[PDF][PDF] A System for Tracking Patients in the Operating Room-A Pilot Study.
Operating Room (OR) management represents one of the most important processes in
healthcare organizations. Inefficient scheduling and inefficient human allocation often …
healthcare organizations. Inefficient scheduling and inefficient human allocation often …
Usare JADE come simulatore multi-agente del sistema immunitario
S Bhunia - 2022 - unire.unige.it
The immune system is one of the most complex biological systems in an organism and
consists of millions--if not billions--of cells of different natures. These cells interact amongst …
consists of millions--if not billions--of cells of different natures. These cells interact amongst …