Zobrazeno 1 - 10
of 19 570
pro vyhledávání: '"Velichko A"'
Autor:
López-Alfonso, Salvador1 (AUTHOR) salloal@csa.upv.es, López-Pellicer, Manuel2 (AUTHOR) mlopezpe@mat.upv.es, Moll-López, Santiago3 (AUTHOR) sanmollp@mat.upv.es
Publikováno v:
Mathematics (2227-7390). Dec2023, Vol. 11 Issue 24, p4930. 5p.
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4930 (2023)
This paper provides two new Velichko-like theorems for the weak counterpart of the locally convex space CkX of all real-valued functions defined on a Tychonoff space X equipped with the compact-open topology τk.
Externí odkaz:
https://doaj.org/article/19e2dd30ac184689a3762468d5a14c7b
Autor:
Ramburuth-Hurt, T., De Cia, A., Krogager, J. -K., Ledoux, C., Jenkins, E., Fox, A. J., Konstantopoulou, C., Velichko, A., Pola, L. Dalla
The interstellar medium (ISM) is a fundamental component of the Milky Way. Studying its chemical composition and the level of its chemical diversity gives us insight into the evolution of the Milky Way and the role of gas in the Galactic environment.
Externí odkaz:
http://arxiv.org/abs/2412.18986
Autor:
Dmytrenko, A. M., Fedorov, P. N., Akhmetov, V. S., Velichko, A. B., Denyshchenko, S. I., Khramtsov, V. P., Vavilova, I. B., Dobrycheva, D. V., Sergijenko, O. M., Vasylenko, A. A., Kompaniiets, O. V.
We present the results of determining the parameters characterizing the shape and orientation of residual velocity ellipsoids from the Gaia DR3 red giants and subgiants. We show the distribution of velocity dispersions in the Galactic plane obtained
Externí odkaz:
http://arxiv.org/abs/2412.18333
Autor:
Karri, Meghana, Arya, Amit Soni, Biswas, Koushik, Gennaro, Nicol`o, Cicek, Vedat, Durak, Gorkem, Velichko, Yuri S., Bagci, Ulas
This work proposes a novel framework, Uncertainty-Guided Cross Attention Ensemble Mean Teacher (UG-CEMT), for achieving state-of-the-art performance in semi-supervised medical image segmentation. UG-CEMT leverages the strengths of co-training and kno
Externí odkaz:
http://arxiv.org/abs/2412.15380
Autor:
Pan, Hongyi, Hong, Ziliang, Durak, Gorkem, Keles, Elif, Aktas, Halil Ertugrul, Taktak, Yavuz, Medetalibeyoglu, Alpay, Zhang, Zheyuan, Velichko, Yury, Spampinato, Concetto, Schoots, Ivo, Bruno, Marco J., Tiwari, Pallavi, Bolan, Candice, Gonda, Tamas, Miller, Frank, Keswani, Rajesh N., Wallace, Michael B., Xu, Ziyue, Bagci, Ulas
Accurate classification of Intraductal Papillary Mucinous Neoplasms (IPMN) is essential for identifying high-risk cases that require timely intervention. In this study, we develop a federated learning framework for multi-center IPMN classification ut
Externí odkaz:
http://arxiv.org/abs/2411.05697
Autor:
Bengtsson, Max, Keles, Elif, Durak, Gorkem, Anwar, Syed, Velichko, Yuri S., Linguraru, Marius G., Waanders, Angela J., Bagci, Ulas
In this paper, we present a novel approach for segmenting pediatric brain tumors using a deep learning architecture, inspired by expert radiologists' segmentation strategies. Our model delineates four distinct tumor labels and is benchmarked on a hel
Externí odkaz:
http://arxiv.org/abs/2411.01390
Autor:
Yulia Evgenievna But
Publikováno v:
Известия Уральского федерального университета. Серия 2: Гуманитарные науки, Vol 23, Iss 2, Pp 280-287 (2021)
This review characterises the content and comments on the importance of a collective monograph which can be regarded as the first comprehensive work in the Russian historical science to depict the dynamics of political culture and the stages of party
Externí odkaz:
https://doaj.org/article/bb9a5fb322014c449a6b048e739a5057
Autor:
Pan, Hongyi, Durak, Gorkem, Zhang, Zheyuan, Taktak, Yavuz, Keles, Elif, Aktas, Halil Ertugrul, Medetalibeyoglu, Alpay, Velichko, Yury, Spampinato, Concetto, Schoots, Ivo, Bruno, Marco J., Keswani, Rajesh N., Tiwari, Pallavi, Bolan, Candice, Gonda, Tamas, Goggins, Michael G., Wallace, Michael B., Xu, Ziyue, Bagci, Ulas
Federated learning (FL) enables collaborative model training across institutions without sharing sensitive data, making it an attractive solution for medical imaging tasks. However, traditional FL methods, such as Federated Averaging (FedAvg), face d
Externí odkaz:
http://arxiv.org/abs/2410.22530
Autor:
Konstantopoulou, Christina, De Cia, Annalisa, Krogager, Jens-Kristian, Ledoux, Cédric, Roman-Duval, Julia, Jenkins, Edward B., Ramburuth-Hurt, Tanita, Velichko, Anna
We present a novel method to characterize dust depletion, namely, the depletion of metals into dust grains. We used observed correlations among relative abundances combining a total of 17 metals in diverse galactic environments, including the Milky W
Externí odkaz:
http://arxiv.org/abs/2410.06155