Prevalence of Metabolic Syndrome in Patients with Psoriasis

Autor: Ilkin Zindancı, Ozlem Albayrak, Mukaddes Kavala, Emek Kocaturk, Burce Can, Sibel Sudogan, Melek Koç

Publikováno v: The Scientific World Journal, Vol 2012 (2012)

Background. Psoriasis is a chronic inflammatory skin disorder in which proinflammatory cytokines including IL-6 and TNF-α increase both locally and systematically. It is thought that chronic inflammation results in metabolic diseases and proinflamma

Externí odkaz: https://doaj.org/article/9edbbea5dc034b9091b8a35739cfb322

Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals

Autor: Bilgin Umut Deveci, Mert Celtikoglu, Ozlem Albayrak, Perin Unal, Pinar Kirci

Publikováno v: Information Systems Frontiers.

Bearings are vital components in rotating machinery. Undetected bearing faults may result not only in financial loss, but also in the loss of lives. Hence, there exists an abundance of studies working on the early detection of bearing faults. The ris

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b14e1f01de57bcd491f6310b6ea49c5
https://doi.org/10.1007/s10796-023-10371-z

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A comparison of state-of-the-art machine learning algorithms on fault indication and remaining useful life determination by telemetry data

Autor: Emre Ummak, Aras Firat Unal, Ali Yuce Kaleli, Ozlem Albayrak

Publikováno v: International Conference on Future Internet of Things and Cloud (FiCloud)
FiCloud
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)

Conference Name: International Conference on Future Internet of Things and Cloud, FiCloud 2021 Date of Conference: 23-25 August 2021 Contemporary trends in the diffusion of artificial intelligence technologies has increased the number of studies on p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9a6902e0e6235b0c1f2f098627caaa6
https://hdl.handle.net/11693/76884

A workflow for synthetic data generation and predictive maintenance for vibration data

Autor: Şahan Yoruç Selçuk, Moez Jomâa, Perin Ünal, Ozlem Albayrak

Publikováno v: Information
Information, Vol 12, Iss 386, p 386 (2021)
Volume 12
Issue 10

Digital twins, virtual representations of real-life physical objects or processes, are becoming widely used in many different industrial sectors. One of the main uses of digital twins is predictive maintenance, and these technologies are being adapte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a95717abcf48ebe04b3800ec6d330192
https://hdl.handle.net/11250/2989451