Zobrazeno 1 - 10
of 8 509
pro vyhledávání: '"P. Simonetti"'
Publikováno v:
EPTCS 409, 2024, pp. 35-52
As business processes become increasingly complex, effectively modeling decision points, their likelihood, and resource consumption is crucial for optimizing operations. To address this challenge, this paper introduces a formal extension of the Busin
Externí odkaz:
http://arxiv.org/abs/2410.22760
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle (LV), right ventricle (RV) segmentation is still more challenging and
Externí odkaz:
http://arxiv.org/abs/2410.03320
During coating processes, dust deposition can lead to an uneven thickness in the resulting film, posing significant problems in industrial processes. Our study explores the effects of solid defects using a vertical cylindrical fiber deposited on a si
Externí odkaz:
http://arxiv.org/abs/2409.04260
Autor:
Bisesi, Erica, Murante, Giuseppe, Provenzale, Antonello, Biasiotti, Lorenzo, von Hardenberg, Jost, Ivanovski, Stavro, Maris, Michele, Monai, Sergio, Silva, Laura, Simonetti, Paolo, Vladilo, Giovanni
Vegetation can modify the planetary surface albedo via the Charney mechanism, as plants are usually darker than the bare surface of the continents. We updated ESTM (Earth-like Surface Temperature Model) to incorporate the presence, distribution and e
Externí odkaz:
http://arxiv.org/abs/2409.01746
Autor:
Yalcinkaya, Dilek M., Youssef, Khalid, Heydari, Bobak, Wei, Janet, Merz, Noel Bairey, Judd, Robert, Dharmakumar, Rohan, Simonetti, Orlando P., Weinsaft, Jonathan W., Raman, Subha V., Sharif, Behzad
Background. Fully automatic analysis of myocardial perfusion MRI datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning techniques that can analyze multi-cente
Externí odkaz:
http://arxiv.org/abs/2408.04805
Autor:
Ahmed, Sameer, Kavic, Michael J., Liebling, Steven L., Lippert, Matthew, Mian, Mohammad, Simonetti, John
Cosmic strings that are attached to rapidly spinning black holes can extract significant amounts of rotational energy and angular momentum. Here we study the effect on primordial black holes, which are expected to form with one or more cosmic strings
Externí odkaz:
http://arxiv.org/abs/2407.04743
There are many strata in the KSBA boundary of the moduli space of octic double planes ($K^2=2$, $p_g=3$). We use methods from tropical and toric geometry to show that only three of these correspond to surfaces with at worst quotient singularities.
Externí odkaz:
http://arxiv.org/abs/2405.02735
Autor:
Simonetti, Angelica
Following the work already done by E. Looijenga and others, we provide an analysis of the deformation types of Looijenga (or anticanonical) pairs $(Y,D)$, where the anticanonical divisor $D$ is made of $n$ irreducible components and $6\leq n \leq9$.
Externí odkaz:
http://arxiv.org/abs/2311.13026
Vertiport Navigation Requirements and Multisensor Architecture Considerations for Urban Air Mobility
Autor:
Crespillo, Omar Garcia, Zhu, Chen, Simonetti, Maximilian, Gerbeth, Daniel, Lee, Young-Hee, Hao, Wenhan
Communication, Navigation and Surveillance (CNS) technologies are key enablers for future safe operation of drones in urban environments. However, the design of navigation technologies for these new applications is more challenging compared to e.g.,
Externí odkaz:
http://arxiv.org/abs/2311.07487
Graph Neural Networks (GNNs) are becoming central in the study of time series, coupled with existing algorithms as Temporal Convolutional Networks and Recurrent Neural Networks. In this paper, we see time series themselves as directed graphs, so that
Externí odkaz:
http://arxiv.org/abs/2310.02774