Zobrazeno 1 - 10
of 5 542
pro vyhledávání: '"Aysu, A."'
Using correct design metrics and understanding the limitations of the underlying technology is critical to developing effective scheduling algorithms. Unfortunately, existing scheduling techniques used \emph{incorrect} metrics and had \emph{unrealist
Externí odkaz:
http://arxiv.org/abs/2404.00507
Quantum computing offers significant acceleration capabilities over its classical counterpart in various application domains. Consequently, there has been substantial focus on improving quantum computing capabilities. However, to date, the security i
Externí odkaz:
http://arxiv.org/abs/2401.01521
Autor:
Ismayilova, Aysu, Ismailov, Vugar
In this paper, we show that the Kolmogorov two hidden layer neural network model with a continuous, discontinuous bounded or unbounded activation function in the second hidden layer can precisely represent continuous, discontinuous bounded and all un
Externí odkaz:
http://arxiv.org/abs/2311.00049
Publikováno v:
Ebelik ve Sağlık Bilimleri Dergisi, Vol 7, Iss 3, Pp 541-547 (2024)
SMA, a genetic neuromuscular disease that affects the control of muscle movement and results in severe motor disorders, is among the rare diseases. Due to the low prevalence of rare diseases and serious problems with correct diagnosis, there may be d
Externí odkaz:
https://doaj.org/article/1953c805dd0a49f1ba11e96b3565a5f9
Autor:
Coşkun, Aysu, Bilicz, Sándor
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2024, Vol. 43, Issue 3, pp. 507-518.
Text summarization is a fundamental task in natural language processing that aims to condense large amounts of textual information into concise and coherent summaries. With the exponential growth of content and the need to extract key information eff
Externí odkaz:
http://arxiv.org/abs/2306.13315
Autor:
Kesim, Ege, Deliahmetoglu, Aysu
Named entity recognition (NER) is used to extract information from various documents and texts such as names and dates. It is important to extract education and work experience information from resumes in order to filter them. Considering the fact th
Externí odkaz:
http://arxiv.org/abs/2306.13062
Autor:
Ismayilova, Aysu, Ismayilov, Muhammad
In this paper we consider a new class of RBF (Radial Basis Function) neural networks, in which smoothing factors are replaced with shifts. We prove under certain conditions on the activation function that these networks are capable of approximating a
Externí odkaz:
http://arxiv.org/abs/2304.02220
Autor:
Enes Emre BAŞAR, Aysu KES ERKUL
Publikováno v:
Bezmiâlem Science, Vol 12, Iss 3, Pp 297-308 (2024)
Objective: Artificial intelligence (AI) is transforming various sectors, including healthcare. The aim of this research was to examine the factors that determined acceptance of and intention to use AI applications by medical doctors. Methods: This r
Externí odkaz:
https://doaj.org/article/ca8ab4bf207e40af8e73a43c444b1210
Autor:
Emre Sertaç Bingül, Mert Canbaz, Mehmet Güzel, Emine Aysu Şalvız, Bora Edim Akalın, Ömer Berköz, Ebru Emre Demirel, Zerrin Sungur, Meltem Savran Karadeniz
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background It is aimed to compare the block onset times and performance features of costoclavicular techniques (medial and lateral approach) versus lateral sagittal technique. Methods Patients were randomized into three groups. For costoclav
Externí odkaz:
https://doaj.org/article/73c7fe6973c14db9a5eec845ea8cde3a