509 The Virtual Resistor based Active Damping (VR-AD) is widely employed in converters connected to the grid via LCL filters in order to mitigate the inherent resonance of the filters.Nevertheless, in digitally controlled systems, the PWM and the calculating delays modify the system characteristics in terms of frequency and phase, thus destabilizin
Manuela De Gregori,1–3 Carolina Muscoli,2,4,5 Michael E Schatman,2,6 Tiziana Stallone,2,7 Fabio Intelligente,2,8 Mariangela Rondanelli,2,9 Francesco Franceschi,2,10 Laura Isabel Arranz,2,11 Silvia Lorente-Cebrián,2,12 Maurizio Salamone,2,13,14 Sara Ilari,2,5 Inna Belfer,2,15 Massimo Allegri2,16,17 1Pain Therapy Service, Fondazione IRCC
The modeling of multi-scale and multi-physics complex systems typically involves the use of scientific software that can optimally leverage extreme scale computing.Despite major developments in recent years, these simulations continue to be computationally intensive and time consuming.Here we explore the use of AI to accelerate the modeling of comp
A smart home provides a facilitated environment for the detection of human activity with appropriate Deep Learning algorithms to manipulate data collected from numerous sensors attached to various smart things in a smart home environment.Human activities comprise beeswax wrap expected and unexpected behavior events; therefore, detecting these event
Predicting brain age has become one of the most attractive challenges in computational neuroscience due to the role of the predicted age as an effective biomarker for different brain diseases and conditions.A great variety of machine learning (ML) approaches and deep learning (DL) techniques have been proposed to predict age from brain magnetic res