1 citations · 3 across the 10 of their papers we have counts for
8 papers · 1 filter
Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy
Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
In this work, we propose a data augmentation strategy aimed at improving the training phase of neural networks and, consequently, the accuracy of their predictions. Our approach re…
Control strategies for magnetized plasma: a polar coordinates framework
Federica Ferrarese
In this work, we provide an overview of various control strategies aimed at steering plasma toward desired configurations using an external magnetic field. From a modeling perspect…
Robust feedback control of collisional plasma dynamics in presence of uncertainties
Giacomo Albi, Giacomo Dimarco, Federica Ferrarese +1
Magnetic fusion aims to confine high-temperature plasma within a device, enabling the fusion of deuterium and tritium nuclei to release energy. Due to the very large temperatures i…
A data augmentation strategy for deep neural networks with application to epidemic modelling
Muhammad Awais, Abu Safyan Ali, Giacomo Dimarco +2
In this work, we integrate the predictive capabilities of compartmental disease dynamics models with machine learning ability to analyze complex, high-dimensional data and uncover…
Localized KBO with genetic dynamics for multi-modal optimization
Federica Ferrarese, Claudia Totzeck
In this paper, we introduce a novel approach to multi-modal optimization by enhancing the recently developed kinetic-based optimization (KBO) method with genetic dynamics (GKBO). T…
Instantaneous control strategies for magnetically confined fusion plasma
Giacomo Albi, Giacomo Dimarco, Federica Ferrarese +1
The principle behind magnetic fusion is to confine high temperature plasma inside a device in such a way that the nuclei of deuterium and tritium joining together can release energ…
Kinetic description of swarming dynamics with topological interaction and transient leaders
Giacomo Albi, Federica Ferrarese
In this paper, we present a model describing the collective motion of birds. The model introduces spontaneous changes in direction which are initialized by few agents, here referre…
Efficient ensemble stochastic algorithms for agent-based models with spatial predator-prey dynamics
Giacomo Albi, Roberto Chignola, Federica Ferrarese
Experiments in predator-prey systems show the emergence of long-term cycles. Deterministic model typically fails in capturing these behaviors, which emerge from the microscopic int…