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pro vyhledávání: '"A., Bove"'
This short note presents preliminary findings on the impact of the October 2024 floods on cultural heritage sites in Valencia, Spain. Using publicly available data, we assess the extent of potential damage by overlaying flood maps with heritage site
Externí odkaz:
http://arxiv.org/abs/2411.08717
Autor:
Risso, Matteo, Goffi, Alessia, Motetti, Beatrice Alessandra, Burrello, Alessio, Bove, Jean Baptiste, Macii, Enrico, Poncino, Massimo, Pagliari, Daniele Jahier, Maffeis, Giuseppe
Very High Resolution (VHR) geospatial image analysis is crucial for humanitarian assistance in both natural and anthropogenic crises, as it allows to rapidly identify the most critical areas that need support. Nonetheless, manually inspecting large a
Externí odkaz:
http://arxiv.org/abs/2410.04802
Autor:
Zhao, Yi-Fei, Bove, Allyn, Thompson, David, Hill, James, Xu, Yi, Ren, Yufan, Hassman, Andrea, Zhou, Leming, Wang, Yanshan
Low back pain (LBP) is a leading cause of disability globally. Following the onset of LBP and subsequent treatment, adequate patient education is crucial for improving functionality and long-term outcomes. Despite advancements in patient education st
Externí odkaz:
http://arxiv.org/abs/2409.15260
In randomized controlled trials, forest plots are frequently used to investigate the homogeneity of treatment effect estimates in subgroups. However, the interpretation of subgroup-specific treatment effect estimates requires great care due to the sm
Externí odkaz:
http://arxiv.org/abs/2407.11729
Autor:
Grau-Bové, Josep, Andrews, Miriam
This note presents an Agent-Based Model (ABM) with Monte Carlo sampling, designed to simulate the behaviour of a population of objects over time. The model incorporates damage functions with the risk parameters of the ABC framework to simulate advers
Externí odkaz:
http://arxiv.org/abs/2407.01192
Autor:
Di Cataldo, Simone, Rescigno, Maria, Monacelli, Lorenzo, Ranieri, Umbertoluca, Gaal, Richard, Klotz, Stefan, Ollivier, Jacques, Koza, Michael Marek, De Michele, Cristiano, Bove, Livia Eleonora
Hydrogen hydrates present a rich phase diagram influenced by both pressure and temperature, with the so-called C$_2$ phase emerging prominently above 2.5 GPa. In this phase, hydrogen molecules are densely packed within a cubic ice-like lattice and th
Externí odkaz:
http://arxiv.org/abs/2405.14665
As Machine Learning (ML) models achieve unprecedented levels of performance, the XAI domain aims at making these models understandable by presenting end-users with intelligible explanations. Yet, some existing XAI approaches fail to meet expectations
Externí odkaz:
http://arxiv.org/abs/2405.13474
Autor:
Gao, Fengyi, Zhang, Xingyu, Sivarajkumar, Sonish, Denny, Parker, Aldhahwani, Bayan, Visweswaran, Shyam, Shi, Ryan, Hogan, William, Bove, Allyn, Wang, Yanshan
In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities. Our dataset i
Externí odkaz:
http://arxiv.org/abs/2405.05993
Autor:
Bove, Davide, Panzer, Lukas
Embedded and Internet-of-Things (IoT) devices are ubiquitous today, and the uprising of several botnets based on them (e.g., Mirai, Ripple20) raises issues about the security of such devices. Especially low-power devices often lack support for modern
Externí odkaz:
http://arxiv.org/abs/2404.03771
Autor:
Papallo, Ida, Solari, Domenico, Onofrio, Ilaria, Ugga, Lorenzo, Cuocolo, Renato, Martorelli, Massimo, Russo, Teresa, Bove, Ilaria, Cavallo, Luigi Maria, Gloria, Antonio
Publikováno v:
Rapid Prototyping Journal, 2024, Vol. 30, Issue 9, pp. 1956-1973.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-08-2023-0280