Zobrazeno 1 - 10
of 6 203
pro vyhledávání: '"A Tasdemir"'
Autor:
Lhamo, Osel, Doan, Tung V., Tasdemir, Elif, Attawna, Mahdi, Nguyen, Giang T., Seeling, Patrick, Reisslein, Martin, Fitzek, Frank H. P.
Emerging 5G/6G use cases span various industries, necessitating flexible solutions that leverage emerging technologies to meet diverse and stringent application requirements under changing network conditions. The standard 5G RAN solution, retransmiss
Externí odkaz:
http://arxiv.org/abs/2408.06115
In this paper, we compute the index and nullity for minimal submanifolds of some complex Einstein spaces. We investigate the stability of these minimal submanifolds and suggest a criterion for instability for some cases. We also compute some higher e
Externí odkaz:
http://arxiv.org/abs/2406.03347
In this study, we investigate the fundamental astrophysical parameters of the old open cluster NGC 188 through two complementary methods: isochron-fitting and spectral energy distribution (SED) analysis. Using photometric, astrometric, and spectrosco
Externí odkaz:
http://arxiv.org/abs/2404.13115
Autor:
Tasdemir, Kasim, Khan, Rafiullah, Siddiqui, Fahad, Sezer, Sakir, Kurugollu, Fatih, Yengec-Tasdemir, Sena Busra, Bolat, Alperen
Detecting SQL Injection (SQLi) attacks is crucial for web-based data center security, but it is challenging to balance accuracy and computational efficiency, especially in high-speed networks. Traditional methods struggle with this balance, while NLP
Externí odkaz:
http://arxiv.org/abs/2312.13041
Publikováno v:
\c{S}aziye Bet\"ul \"Ozate\c{s}, Tar{\i}k T{\i}ra\c{s}, Efe Gen\c{c}, and Esma Bilgin Ta\c{s}demir. 2024. Dependency Annotation of Ottoman Turkish with Multilingual BERT. LAW-XVIII, pages 188-196, St. Julians, Malta
This study introduces a pretrained large language model-based annotation methodology for the first de dency treebank in Ottoman Turkish. Our experimental results show that, iteratively, i) pseudo-annotating data using a multilingual BERT-based parsin
Externí odkaz:
http://arxiv.org/abs/2402.14743
Autor:
Yurdakul, Mustafa, Tasdemir, Sakir
Detecting machine malfunctions at an early stage is crucial for reducing interruptions in operational processes within industrial settings. Recently, the deep learning approach has started to be preferred for the detection of failures in machines. De
Externí odkaz:
http://arxiv.org/abs/2312.01062
Autor:
Tasdemir, S., Yontan, T.
We present an investigation of the open cluster Trumpler 2 using Gaia DR3 photometric, astrometric and spectroscopic data. 92 stars were identified as likely members of the cluster, with membership probabilities greater than 0.5. The mean proper-moti
Externí odkaz:
http://arxiv.org/abs/2304.14270
Autor:
Yontan, T., Bilir, S., Cakmak, H., Raul, M., Banks, T., Soydugan, E., Canbay, R., Tasdemir, S.
This paper presents photometric, astrometric, and kinematic analyses of the open clusters NGC 189, NGC 1758 and NGC 7762 based on CCD UBV photometric and Gaia Data Release 3 (DR3) data. According to membership analyses, we identified 32, 57 and 106 m
Externí odkaz:
http://arxiv.org/abs/2304.04294
Autor:
Melike Nur Ince, Cagatay Tasdemir
Publikováno v:
BioResources, Vol 19, Iss 3, Pp 6478-6509 (2024)
Facility location selection and internal layout planning are critical strategic decisions for long-term sustainability. This study identified the most feasible location and optimal layout for a commercial bedroom furniture manufacturing facility thro
Externí odkaz:
https://doaj.org/article/3590d2c3950842129e61877f7179a0b0
Publikováno v:
Brazilian Journal of Anesthesiology, Vol 74, Iss 6, Pp 844539- (2024)
Background: Difficult airway, characterized by difficult mask ventilation and intubation, is common in obese patients undergoing surgery. The purpose of this study was to evaluate and compare the prognostic efficiency of ultrasound-measured anterior
Externí odkaz:
https://doaj.org/article/d300f4c3e495414cb12941ef50e15588