Zobrazeno 1 - 10
of 9 011
pro vyhledávání: '"Zunino, A"'
Autor:
Zunino, Alessandro, Garrè, Giacomo, Perego, Eleonora, Zappone, Sabrina, Donato, Mattia, Vicidomini, Giuseppe
Fast and sensitive detector arrays enable image scanning microscopy (ISM), overcoming the trade-off between spatial resolution and signal-to-noise ratio (SNR) typical of confocal microscopy. However, current ISM approaches cannot provide optical sect
Externí odkaz:
http://arxiv.org/abs/2406.12542
UTXO-based smart contract platforms face an efficiency bottleneck, in that any transaction sent to a contract must specify the entire updated contract state. This requirement becomes particularly burdensome when the contract state contains dynamic da
Externí odkaz:
http://arxiv.org/abs/2406.07700
Autor:
Chang-Zunino, Mia1 (AUTHOR) mchang@escp.eu, Grodal, Stine2 (AUTHOR) s.grodal@northeastern.edu
Publikováno v:
Administrative Science Quarterly. Sep2024, Vol. 69 Issue 3, p571-618. 48p.
Autor:
Gado, Elena Grazia, Martorella, Tommaso, Zunino, Luca, Mejia-Domenzain, Paola, Swamy, Vinitra, Frej, Jibril, Käser, Tanja
Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primarily focused on the correctness of the answer rather than the student's
Externí odkaz:
http://arxiv.org/abs/2405.20079
Digital twins require computationally-efficient reduced-order models (ROMs) that can accurately describe complex dynamics of physical assets. However, constructing ROMs from noisy high-dimensional data is challenging. In this work, we propose a data-
Externí odkaz:
http://arxiv.org/abs/2405.19785
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction
We develop a novel deep learning technique, termed Deep Orthogonal Decomposition (DOD), for dimensionality reduction and reduced order modeling of parameter dependent partial differential equations. The approach consists in the construction of a deep
Externí odkaz:
http://arxiv.org/abs/2404.18841
Confocal laser scanning microscopy (CLSM) stands out as one of the most widely used microscopy techniques, thanks to its three-dimensional imaging capability and its sub-diffraction spatial resolution, achieved through the closure of a pinhole in fro
Externí odkaz:
http://arxiv.org/abs/2404.08946
Autor:
Bartoletti, Massimo, Benetollo, Lorenzo, Bugliesi, Michele, Crafa, Silvia, Sasso, Giacomo Dal, Pettinau, Roberto, Pinna, Andrea, Piras, Mattia, Rossi, Sabina, Salis, Stefano, Spanò, Alvise, Tkachenko, Viacheslav, Tonelli, Roberto, Zunino, Roberto
Smart contracts have played a pivotal role in the evolution of blockchains and Decentralized Applications (DApps). As DApps continue to gain widespread adoption, multiple smart contract languages have been and are being made available to developers,
Externí odkaz:
http://arxiv.org/abs/2404.04129
Autor:
Voltarelli, Leonardo G. J. M., Pessa, Arthur A. B., Zunino, Luciano, Zola, Rafael S., Lenzi, Ervin K., Perc, Matjaz, Ribeiro, Haroldo V.
Publikováno v:
Chaos 34, 053130 (2024)
Permutation entropy and its associated frameworks are remarkable examples of physics-inspired techniques adept at processing complex and extensive datasets. Despite substantial progress in developing and applying these tools, their use has been predo
Externí odkaz:
http://arxiv.org/abs/2403.13122
We consider the execution of smart contracts on Bitcoin. There, every contract step corresponds to appending to the blockchain a new transaction that spends the output representing the old contract state, creating a new one for the updated state. Thi
Externí odkaz:
http://arxiv.org/abs/2403.09880