Zobrazeno 1 - 10
of 7 942
pro vyhledávání: '"A, Fiorelli"'
Associative memory refers to the ability to relate a memory with an input and targets the restoration of corrupted patterns. It has been intensively studied in classical physical systems, as in neural networks where an attractor dynamics settles on s
Externí odkaz:
http://arxiv.org/abs/2408.14272
Autor:
Fiorelli, Rafaella, Rajabali, Mona, Méndez-Romero, Roberto, Kumar, Akash, Litvinenko, Artem, Serrano-Gotarredona, Teresa, Moradi, Farshad, Åkerman, Johan, Linares-Barranco, Bernabé, Peralías, Eduardo
Publikováno v:
IEEE Transactions on Electron Devices 2024
As nascent nonlinear oscillators, nano-constriction spin Hall nano-oscillators (SHNOs) represent a promising potential for integration into more complicated systems such as neural networks, magnetic field sensors, and radio frequency (RF) signal clas
Externí odkaz:
http://arxiv.org/abs/2404.10334
Autor:
Fiorelli, Eliana
We consider a class of open quantum many-body systems that evolves in a Markovian fashion, the dynamical generator being in GKS-Lindblad form. Here, the Hamiltonian contribution is characterized by an all-to-all coupling, and the dissipation features
Externí odkaz:
http://arxiv.org/abs/2402.00792
Autor:
Beatrice Leonardi, Giovanni Natale, Salvatore Ferraioli, Francesco Leone, Mario Grande, Maria Antonietta Puca, Anna Rainone, Gaetana Messina, Antonello Sica, Alfonso Fiorelli
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Objectives Thrombocytosis is a clinical condition generally associated with poor prognosis in patients with cancer. Thrombocytosis may be present after lung cancer resection, but the clinical significance of thrombocytosis remains unclear. H
Externí odkaz:
https://doaj.org/article/81fc07d8c81e4d02a2348006c9da6223
Autor:
Beatrice Leonardi, Giovanni Natale, Giuseppe Vicario, Mario Grande, Alfonso Fiorelli, Luigi Di Tommaso, Vincenzo Speranza, Daniele Torella, Marisa De Feo, Michele Torella
Publikováno v:
Thoracic Cancer, Vol 15, Iss 22, Pp 1721-1724 (2024)
Abstract Myocardial revascularization in patients presenting with an anterior mediastinal mass poses considerable challenges. In this report, we outline two cases involving patients with anterior mediastinal masses who underwent surgical resection al
Externí odkaz:
https://doaj.org/article/a9e060d0a5874d7ba31c0d66cf506f46
Accurate intraday forecasts of the power output by PhotoVoltaic (PV) systems are critical to improve the operation of energy distribution grids. We describe a neural autoregressive model that aims to perform such intraday forecasts. We build upon a p
Externí odkaz:
http://arxiv.org/abs/2303.08459
We consider a class of open quantum many-body Lindblad dynamics characterized by an all-to-all coupling Hamiltonian and by dissipation featuring collective ``state-dependent" rates. The latter encodes local incoherent transitions that depend on avera
Externí odkaz:
http://arxiv.org/abs/2302.04155
Publikováno v:
Romanian Journal of Regional Science, Vol 18, Iss 1, Pp 1-37 (2024)
The diffusion of knowledge among firms and workers, which, in turn, depends on the nature of the knowledge itself and the relatedness or unrelatedness of the industrial composition, is an essential driver for the growth and employment of territories.
Externí odkaz:
https://doaj.org/article/ea3bbce9425245fcab999d2adc7e30b8
Autor:
Fabrizia D’Antonio, Alice Teghil, Maddalena Boccia, Giulia Bechi Gabrielli, Giovanni Giulietti, Desirée Conti, Antonio Suppa, Andrea Fabbrini, Marco Fiorelli, Francesca Caramia, Giuseppe Bruno, Cecilia Guariglia, Dag Aarsland, Dominic Ffytche
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Visual hallucinations in Lewy body disease (LBD) can be differentiated based on phenomenology into minor phenomena (MVH) and complex hallucinations (CVH). MVH include a variety of phenomena, such as illusions, presence and passage hallucinat
Externí odkaz:
https://doaj.org/article/0493a1b7bbe343168f2a6dcff6dd44dd
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here, quantum generalisations of classical networks realizing associative memories - capable of retrieving patterns, or memories, from corrupted initial states
Externí odkaz:
http://arxiv.org/abs/2210.07894