Zobrazeno 1 - 10
of 93 216
pro vyhledávání: '"BARBIERI"'
Autor:
Barbieri Matteo, Diversi Roberto
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 1, Pp 65-79 (2024)
The aim of this paper is to develop a new recursive identification algorithm for autoregressive (AR) models corrupted by additive white noise. The proposed approach relies on a set of both low-order and high-order Yule–Walker equations and on a mod
Externí odkaz:
https://doaj.org/article/ba0e097aecaf42c781934e91373fe53d
Autor:
Sciandra Chiara, Amoriello Sara, Degli Emilia Innocenti, Nicotera Valentina, Barbieri Francesco, Mazza Giuseppe, Torrini Giulia, Roversi Pio Federico, Strangi Agostino
Publikováno v:
Journal of Nematology, Vol 56, Iss 1, Pp 1-5 (2024)
Rhabditis (Rhabditella) axei is a free-living, pseudoparasitic, necromenic, and parasitic nematode, depending on the host. This species feeds mainly on bacteria present in decaying organic matter, soil, and other substrates; however, in its parasitic
Externí odkaz:
https://doaj.org/article/20538a35af9449bdb5ba14dce3ddd9e3
Autor:
Shakibfar S, Allin KH, Jess T, Barbieri MA, Battini V, Simoncic E, Kirchgesner J, Ulven T, Sessa M
Publikováno v:
Pragmatic and Observational Research, Vol Volume 15, Pp 17-29 (2024)
Saeed Shakibfar,1 Kristine H Allin,2 Tine Jess,2 Maria Antonietta Barbieri,1,3 Vera Battini,1,4 Eva Simoncic,1 Julien Kirchgesner,5 Trond Ulven,1,* Maurizio Sessa1,* 1Department of Drug Design and Pharmacology, University of Copenhagen, Copen
Externí odkaz:
https://doaj.org/article/0eacadf8ba224219be64fab21a158afa
Publikováno v:
Revista Methodo, Vol 9, Iss 2 (2024)
En el marco del cambio climático, la producción en suelos salinos surge como un desafío global de gran importancia, especialmente en regiones áridas de Argentina. Este estudio se enfoca en la alfalfa (Medicago sativa), una forrajera relevante en
Externí odkaz:
https://doaj.org/article/cb8e0e4e31fe4a2f924cd0774410c002
Autor:
Barbieri, Nicola, Brinckmann, Thejs, Gariazzo, Stefano, Lattanzi, Massimiliano, Pastor, Sergio, Pisanti, Ofelia
We present an updated analysis of cosmological models with very low reheating scenarios ($T_\text{RH} \sim \mathcal{O}(\text{MeV})$). Our study includes a more precise computation of neutrino distribution functions, leveraging the latest datasets fro
Externí odkaz:
http://arxiv.org/abs/2501.01369
Autor:
Kuppens, Daan, Barbieri, Sebastiano, Berg, Daisy van den, Schouten, Pepijn, Thoeny, Harriet C., Wennen, Myrte, Gurney-Champion, Oliver J.
Deep learning has proven to be a suitable alternative to least-squares (LSQ) fitting for parameter estimation in various quantitative MRI (QMRI) models. However, current deep learning implementations are not robust to changes in MR acquisition protoc
Externí odkaz:
http://arxiv.org/abs/2412.20844
Autor:
Dogra, Karan, Gupta, Alok C., Raiteri, C. M., Villata, M., Wiita, Paul J., Kurtanidze, S. O., Jorstad, S. G., Bachev, R., Damljanovic, G., Lorey, C., Savchenko, S. S., Vince, O., Abdelkareem, M., Aceituno, F. J., Acosta-Pulido, J. A., Agudo, I., Andreuzzi, G., Ata, S. A., Baida, G. V., Barbieri, L., Blinov, D. A., Bonnoli, G., Borman, G. A., Carnerero, M. I., Carosati, D., Casanova, V., Chen, W. P., Cui, Lang, Elhosseiny, E. G., Elsaesser, D., Escudero, J., Feige, M., Gazeas, K., Gennadievna, L. E., Grishina, T. S., Gu, Minfeng, Hagen-Thorn, V. A., Hemrich, F., Hsiao, H. Y., Ismail, M., Ivanidze, R. Z., Jovanovic, M. D., Kamel, T. M., Kimeridze, G. N., Kopatskaya, E. N., Kuberek, D., Kurtanidze, O. M., Kurtenkov, A., Larionov, V. M., Larionova, L. V., Liao, M., Lin, H. C., Mannheim, K., Marchini, A., Marinelli, C., Marscher, A. P., Morcuende, D., Morozova, D. A., Nazarov, S. V., Nikolashvili, M. G., Reinhart, D., Santos, J. O., Scherbantin, A., Semkov, E., Shishkina, E. V., Sigua, L. A., Singh, A. K., Sota, A., Steineke, R., Stojanovic, M., Strigachev, A., Takey, A., Tawfeek, Amira A., Troitskiy, I. S., Troitskaya, Y. V., Tsai, An-Li, Vasilyev, A. A., Vrontaki, K., Zhang, Zhongli, Zhovtan, A. V., Zottmann, N., Zuo, Wenwen
Publikováno v:
ApJS(2025) 276:1
Due to its peculiar and highly variable nature, the blazar 3C 454.3 has been extensively monitored by the WEBT team. Here, we present for the first time these long-term optical flux and color variability results using data acquired in B, V, R, and I
Externí odkaz:
http://arxiv.org/abs/2412.10766
Autor:
Antypas, Dimosthenis, Sen, Indira, Perez-Almendros, Carla, Camacho-Collados, Jose, Barbieri, Francesco
The detection of sensitive content in large datasets is crucial for ensuring that shared and analysed data is free from harmful material. However, current moderation tools, such as external APIs, suffer from limitations in customisation, accuracy acr
Externí odkaz:
http://arxiv.org/abs/2411.19832
Autor:
Barbieri, Santiago, Clarke, Andrew
In this paper we consider the coin billiards introduced by M. Bialy. It is a family of maps of the annulus $\mathbb A = \mathbb T \times (0,\pi)$ given by the composition of the classical billiard map on a convex planar table $\Gamma$ with the geodes
Externí odkaz:
http://arxiv.org/abs/2411.13214