Zobrazeno 71 - 80
of 29 062
pro vyhledávání: '"Scarpa A"'
Autor:
Gustavo F. Scarpa
Publikováno v:
Boletín de la Sociedad Argentina de Botánica, Vol 59, Iss 1 (2024)
Introducción y objetivos: Se estudian los conocimientos sobre las plantas forrajeras de los criollos del centro-norte de la provincia del Chaco (Argentina), así como sus formas de manejo y efectos extra-alimenticios que las mismas tienen sobre el g
Externí odkaz:
https://doaj.org/article/39c6ec0c63fc4edb86ebdb65b0347a04
Autor:
Guilherme Germano Braga, Gabriela Giusti, Júlio César dos Santos, Diogo Aparecido Lopes Silva, André Luis Christoforo, Túlio Hallak Panzera, Fabrizio Scarpa
Publikováno v:
Composites Part C: Open Access, Vol 13, Iss , Pp 100435- (2024)
Despite the extensive research on renewable resources (RR) and their potential applications in composite materials and sandwich structures, there remains a significant dearth of life cycle assessment (LCA) studies that comprehensively evaluate the ef
Externí odkaz:
https://doaj.org/article/3c2c50ff0c0449beb793634efa29f9c1
In many numerical simulations stochastic gradient descent (SGD) type optimization methods perform very effectively in the training of deep neural networks (DNNs) but till this day it remains an open problem of research to provide a mathematical conve
Externí odkaz:
http://arxiv.org/abs/2112.07369
The dynamics of isolated galaxy pairs represents an important tool to investigate the behavior of gravity in the low acceleration regime. Statistical analysis of a large sample of galaxy pairs led to the noticeable discovery of a region of preferred
Externí odkaz:
http://arxiv.org/abs/2112.03637
We describe here a class of acoustic metamaterials with fractal Hilbert space-filling and coiled geometry with equal tortuosity for noise mitigation. Experiments are performed using a four-microphone impedance tube and benchmarked against non-viscous
Externí odkaz:
http://arxiv.org/abs/2111.11981
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
In recent years, there has been a growing interest in deep learning-based pansharpening. Thus far, research has mainly focused on architectures. Nonetheless, model training is an equally important issue. A first problem is the absence of ground truth
Externí odkaz:
http://arxiv.org/abs/2111.08334
Publikováno v:
In International Journal of Solids and Structures 15 July 2024 298
Autor:
Colangelo, Francesco, Scarpa, Davide, Cirillo, Carla, Iuliano, Mariagrazia, Cirillo, Claudia, Prischepa, Serghej L., Gallucci, Luca, Bondarenko, Vitaly P., Attanasio, Carmine, Sarno, Maria
Publikováno v:
In International Journal of Hydrogen Energy 4 July 2024 73:86-94
Autor:
Mosele, M.F., Westphalen, C.B., Stenzinger, A., Barlesi, F., Bayle, A., Bièche, I., Bonastre, J., Castro, E., Dienstmann, R., Krämer, A., Czarnecka, A.M., Meric-Bernstam, F., Michiels, S., Miller, R., Normanno, N., Reis-Filho, J., Remon, J., Robson, M., Rouleau, E., Scarpa, A., Serrano, C., Mateo, J., André, F.
Publikováno v:
In Annals of Oncology July 2024 35(7):588-606
Autor:
Santos, Júlio Cesar dos, da Silva, Rodrigo José, Oliveira, Lívia Ávila de, Freire, Rodrigo Teixeira Santos, Tarpani, José Ricardo, Thomas, Carlos, Panzera, Tulio Hallak, Scarpa, Fabrizio
Publikováno v:
In Journal of Building Engineering 1 July 2024 88