Zobrazeno 1 - 10
of 3 289
pro vyhledávání: '"A Di Vito"'
Recent developments in applying machine learning to address Alternating Current Optimal Power Flow (AC OPF) problems have demonstrated significant potential in providing close to optimal solutions for generator dispatch in near real-time. While these
Externí odkaz:
http://arxiv.org/abs/2410.19157
Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology, and finance, where optimal configurations or control strategies must b
Externí odkaz:
http://arxiv.org/abs/2410.01786
Autor:
Kotary, James, Di Vito, Vincenzo, Cristopher, Jacob, Van Hentenryck, Pascal, Fioretto, Ferdinando
The Predict-Then-Optimize framework uses machine learning models to predict unknown parameters of an optimization problem from exogenous features before solving. This setting is common to many real-world decision processes, and recently it has been s
Externí odkaz:
http://arxiv.org/abs/2409.04898
Autor:
Mason, Federico, Ferri, Lorenzo, Di Vito, Lidia, Alvisi, Lara, Zanuttini, Luca, Martinoni, Matteo, Mai, Roberto, Cardinale, Francesco, Tinuper, Paolo, Michelucci, Roberto, Pasini, Elena, Bisulli, Francesca
Stereoelectroencephalography (SEEG) is an invasive surgical procedure to record the electrical activities in cortical brain regions, aiming at identifying the Epileptogenic Zone (EZ) in patients with drug-resistant epilepsy. To improve the accuracy o
Externí odkaz:
http://arxiv.org/abs/2408.16347
We analyze and present applications of a recently proposed empirical tight-binding scheme for investigating the effects of alloy disorder on various electronic and optical properties of semiconductor alloys, such as the band gap variation, the locali
Externí odkaz:
http://arxiv.org/abs/2401.16951
Autor:
Kotary, James, Di Vito, Vincenzo, Christopher, Jacob, Van Hentenryck, Pascal, Fioretto, Ferdinando
Many real-world decision processes are modeled by optimization problems whose defining parameters are unknown and must be inferred from observable data. The Predict-Then-Optimize framework uses machine learning models to predict unknown parameters of
Externí odkaz:
http://arxiv.org/abs/2311.13087
Autor:
Yusheva, Anastasia, Saranin, Danila, Muratov, Dmitry, Gostishchev, Pavel, Pazniak, Hanna, Di Vito, Alessia, Le, Son Thai, Luchnikov, Lev, Vasiliev, Anton, Podgorny, Dmitry, Kuznetsov, Denis, Didenko, Sergey, Di Carlo, Aldo
Publikováno v:
Small, 2022
Interface engineering is one of the promising strategies for the long-term stabilization of perovskite solar cells, preventing chemical decomposition induced by external agents and promoting fast charge transfer. Recently, MXenes-2D structured transi
Externí odkaz:
http://arxiv.org/abs/2311.09695
Autor:
Ana Astort, Elisa Trasatti, Luca Caricchi, Marco Polcari, Prospero De Martino, Valerio Acocella, Mauro A. Di Vito
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract Understanding and managing unrest at a volcano include i) ascertaining the magmatic distribution and migration, and ii) tracking the evolution of the shallow plumbing system. Here we use multi-technique geodetic data, mechanical models, and
Externí odkaz:
https://doaj.org/article/9fc2ab6bb2e54e4c8f9deedb5e5114c3
Autor:
Silvia Fabbrocino, Eliana Bellucci Sessa, Sandro de Vita, Rosario Avino, Antonio Carandente, Enrica Marotta, Fabio Todisco, Mauro Antonio Di Vito
Publikováno v:
Journal of Maps, Vol 20, Iss 1 (2024)
ABSTRACTThe first hydrogeological mapping of Ischia Island at the 1:10,000 scale is presented and discussed. The ‘Map of the geohydrologic units of Ischia Island’ and the accompanying hydrostratigraphic sequence at a basin scale are based on the
Externí odkaz:
https://doaj.org/article/834acce43b0c44ea87347a61bbeaf142
Autor:
Paolo Prontera, Orazio Palumbo, Massimo Carella, Corrado Zenesini, Giuseppe Damante, Laura Licchetta, Francesca Bisulli, Lorenzo Muccioli, Luca Vignatelli, Roberto Michelucci, Giuseppe D’Orsi, Elena Pasini, Maria Tappatà, Cinzia Costa, Raffaele Lodi, Serena Mazzone, Dustin Armstrong, Cosimo Altomare, Lidia Di Vito, Nicola Gambacorta, Paola Imbrici, Valentina Imperatore, Antonella Liantonio, Paola Mantuano
Publikováno v:
BMJ Open, Vol 14, Iss 10 (2024)
Introduction Lafora disease (LD) is an ultrarare fatal progressive myoclonic epilepsy, causing drug-resistant epilepsy, myoclonus and psychomotor deterioration. LD is caused by mutations in EPM2A or NHLRC1, which lead to the accumulation of polygluco
Externí odkaz:
https://doaj.org/article/9a4c3bd3835e4950ac862a864ce35aea