Zobrazeno 1 - 10
of 19 211
pro vyhledávání: '"A. Velichko"'
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:
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
Autor:
Jha, Debesh, Susladkar, Onkar Kishor, Gorade, Vandan, Keles, Elif, Antalek, Matthew, Seyithanoglu, Deniz, Cebeci, Timurhan, Aktas, Halil Ertugrul, Kartal, Gulbiz Dagoglu, Kaymakoglu, Sabahattin, Erturk, Sukru Mehmet, Velichko, Yuri, Ladner, Daniela, Borhani, Amir A., Medetalibeyoglu, Alpay, Durak, Gorkem, Bagci, Ulas
Liver cirrhosis, the end stage of chronic liver disease, is characterized by extensive bridging fibrosis and nodular regeneration, leading to an increased risk of liver failure, complications of portal hypertension, malignancy and death. Early diagno
Externí odkaz:
http://arxiv.org/abs/2410.16296
Autor:
Covelo-Paz, Alba, Giovinazzo, Emma, Oesch, Pascal A., Meyer, Romain A., Weibel, Andrea, Brammer, Gabriel, Fudamoto, Yoshinobu, Kerutt, Josephine, Lin, Jamie, Matharu, Jasleen, Naidu, Rohan P., Velichko, Anna, Bollo, Victoria, Bouwens, Rychard, Chisholm, John, Illingworth, Garth D., Kramarenko, Ivan, Magee, Daniel, Maseda, Michael, Matthee, Jorryt, Nelson, Erica, Reddy, Naveen, Schaerer, Daniel, Stefanon, Mauro, Xiao, Mengyuan
The H{\alpha} nebular emission line is an optimal tracer for recent star formation in galaxies. With the advent of JWST, this line has recently become observable at z>3 for the first time. We present a catalog of 1013 H{\alpha} emitters at 3.7
Externí odkaz:
http://arxiv.org/abs/2409.17241
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:
Borisenkov, Mikhail, Velichko, Andrei, Belyaev, Maksim, Korzun, Dmitry, Tserne, Tatyana, Bakutova, Larisa, Gubin, Denis
This study investigates machine learning algorithms to identify objective features for diagnosing food addiction (FA) and assessing confirmed symptoms (SC). Data were collected from 81 participants (mean age: 21.5 years, range: 18-61 years, women: 77
Externí odkaz:
http://arxiv.org/abs/2409.00310
Autor:
Biswas, Koushik, Pal, Ridal, Patel, Shaswat, Jha, Debesh, Karri, Meghana, Reza, Amit, Durak, Gorkem, Medetalibeyoglu, Alpay, Antalek, Matthew, Velichko, Yury, Ladner, Daniela, Borhani, Amir, Bagci, Ulas
Accurately segmenting different organs from medical images is a critical prerequisite for computer-assisted diagnosis and intervention planning. This study proposes a deep learning-based approach for segmenting various organs from CT and MRI scans an
Externí odkaz:
http://arxiv.org/abs/2408.05692
In this study a new method for analyzing synchronization in oscillator systems is proposed using the example of modeling the dynamics of a circuit of two resistively coupled pulse oscillators. The dynamic characteristic of synchronization is fuzzy en
Externí odkaz:
http://arxiv.org/abs/2406.12906