Zobrazeno 1 - 10
of 3 169
pro vyhledávání: '"Kirik, A."'
Growing requirements of future wireless communication systems, such as high data rates, high reliability, and low latency, make the active usage of Non-Terrestrial Networks (NTN) an inevitable necessity. In this regard, High Altitude Platforms (HAPs)
Externí odkaz:
http://arxiv.org/abs/2408.14986
Autor:
ŞAHİN KIRIK, Fatma Adalet1 adaletsahin@uludag.edu.tr, ALICI, Tevfik2 alici@uludag.edu.tr
Publikováno v:
Social Sciences Review of the Faculty of Sciences & Letters University of Uludag / Fen Edebiyat Fakültesi Sosyal Bilimler Dergisi. 2024, Vol. 45 Issue 47, p825-849. 25p.
Autor:
Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San, Acharya, U.R.
Publikováno v:
In Knowledge-Based Systems 27 September 2024 300
Autor:
Hall, Graham, Kırık Rácz, Bahar
Publikováno v:
In Journal of Geometry and Physics September 2024 203
Autor:
KIRIK, Özkan, ÖZDEMİR, Caner
Publikováno v:
In Advances in Engineering Software July 2024 193
Autor:
Danuta Sastre, Faria Zafar, C. Alejandra Morato Torres, Desiree Piper, Deniz Kirik, Laurie H. Sanders, L. Stanley Qi, Birgitt Schüle
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Parkinson’s disease (PD) is one of the most common neurodegenerative diseases, but no disease modifying therapies have been successful in clinical translation presenting a major unmet medical need. A promising target is alpha-synuclein or
Externí odkaz:
https://doaj.org/article/6d2236de09b34a8e9d0b88bb3b49760a
Adoption of recently developed methods from machine learning has given rise to creation of drug-discovery knowledge graphs (KG) that utilize the interconnected nature of the domain. Graph-based modelling of the data, combined with KG embedding (KGE)
Externí odkaz:
http://arxiv.org/abs/2112.06567
Autor:
Anna Simanenkova, Oksana Fuks, Natalya Timkina, Alina Islamova, Dina Sufieva, Оlga Kirik, Dmitrii Korzhevskii, Timur Vlasov, Tatiana Karonova
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 29, Iss 7, p 265 (2024)
Background: Acute and chronic brain damage in type 2 diabetes mellitus (DM) determines the need to investigate the neuroprotective potential of glucose-lowering drugs. The purpose was to directly compare the neuroprotective effects of glucagon-like p
Externí odkaz:
https://doaj.org/article/0f3cb175050746a48a1ef46b02b62bd7
Autor:
Yasin Atilkan, Berk Kirik, Koray Acici, Recep Benzer, Fatih Ekinci, Mehmet Serdar Guzel, Semra Benzer, Tunc Asuroglu
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6211 (2024)
This study evaluates the effectiveness of deep learning and canonical machine learning models for detecting diseases in crayfish from an imbalanced dataset. In this study, measurements such as weight, size, and gender of healthy and diseased crayfish
Externí odkaz:
https://doaj.org/article/4e98be801f0241d6b1b05b3dd135c702
Publikováno v:
BioTechniques, Vol 75, Iss 1, Pp 31-38 (2023)
A PCR cloning method that combines a dual selection pGATE-1 plasmid vector and an improved overlap extension cloning was developed. This efficient and cost-effective method allows for the introduction of DNA fragments into the Gateway cloning pipelin
Externí odkaz:
https://doaj.org/article/363ea1ff50034f94be24b8d0ed384172