Zobrazeno 1 - 10
of 23 623
pro vyhledávání: '"A. Ergun"'
Publikováno v:
Сахарный диабет, Vol 26, Iss 3, Pp 236-242 (2023)
AIM: The primary purpose of our study was to understand the damage in the peripheral nerves of patients with diabetes and to determine the change in patients’ reaction rates and perceptions by the age groups, duration of diabetes, fasting plasma gl
Externí odkaz:
https://doaj.org/article/06b36e3efda14782a9c0fbccf1424772
Autor:
A. Ergun Karaağaoğlu, Sevilay Karahan
Publikováno v:
Düzce Tıp Fakültesi Dergisi, Vol 23, Iss 3, Pp 234-238 (2021)
Biostatistics which is the application of statistics in the field of health and biology; provides powerful tools for creating questions, designing studies, developing measurements, and analyzing data and has an important place in determining the effi
Externí odkaz:
https://doaj.org/article/c4bede6b449b4779bff829fc3332faa0
We suggest a new theoretical method to describe the baryon clusterization of nuclei in hadron-nucleus reactions. As an example we have explored the nuclei production in $\pi^-+C$ and $\pi^-+W$ collisions at p$_{lab}$=1.7 GeV by using the hybrid appro
Externí odkaz:
http://arxiv.org/abs/2409.19290
This paper addresses the challenges of embedding common droop control characteristics in ac-dc power system steady-state simulation and optimization problems. We propose a smooth approximation methodology to construct differentiable functions that en
Externí odkaz:
http://arxiv.org/abs/2409.18376
Autor:
Stawarz, J. E., Muñoz, P. A., Bessho, N., Bandyopadhyay, R., Nakamura, T. K. M., Eriksson, S., Graham, D., Büchner, J., Chasapis, A., Drake, J. F., Shay, M. A., Ergun, R. E., Hasegawa, H., Khotyaintsev, Yu. V., Swisdak, M., Wilder, F.
Alongside magnetic reconnection, turbulence is another fundamental nonlinear plasma phenomenon that plays a key role in energy transport and conversion in space and astrophysical plasmas. From a numerical, theoretical, and observational point of view
Externí odkaz:
http://arxiv.org/abs/2407.20787
Autor:
Biçici, Ergun
We identify the similarity between two words in English by casting the task as machine translation performance prediction (MTPP) between the words given the context and the distance between their similarities. We use referential translation machines
Externí odkaz:
http://arxiv.org/abs/2407.06230
Autor:
Biçici, Ergun
We use referential translation machines (RTMs) to identify the similarity between an attribute and two words in English by casting the task as machine translation performance prediction (MTPP) between the words and the attribute word and the distance
Externí odkaz:
http://arxiv.org/abs/2407.05154
Autor:
Biçici, Ergun
We present a new parser performance prediction (PPP) model using machine translation performance prediction system (MTPPS), statistically independent of any language or parser, relying only on extrinsic and novel features based on textual, link struc
Externí odkaz:
http://arxiv.org/abs/2407.05116
Autor:
Biçici, Ergun
We use transductive regression techniques to learn mappings between source and target features of given parallel corpora and use these mappings to generate machine translation outputs. We show the effectiveness of $L_1$ regularized regression (\texti
Externí odkaz:
http://arxiv.org/abs/2406.19478
Autor:
Biçici, Ergun
Extreme Learning Machines (ELM) provide a fast alternative to traditional gradient-based learning in neural networks, offering rapid training and robust generalization capabilities. Its theoretical basis shows its universal approximation capability.
Externí odkaz:
http://arxiv.org/abs/2406.17828