Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations

Autor: Yasemin Gokcekuyu, Fatih Ekinci, Arda Buyuksungur, Mehmet Serdar Guzel, Koray Acici, Tunc Asuroglu

Publikováno v: Applied Sciences, Vol 14, Iss 23, p 10879 (2024)

This study investigates the absorption of X-rays in mandibular tissues by comparing real tissues with tissue-equivalent materials using the PHITS Monte Carlo simulation program. The simulation was conducted over a range of X-ray photon energies from

Externí odkaz: https://doaj.org/article/68fa52e8d55748919847f5fc1c8d5963

T4SS Effector Protein Prediction with Deep Learning

Autor: Koray Açıcı, Tunç Aşuroğlu, Çağatay Berke Erdaş, Hasan Oğul

Publikováno v: Data, Vol 4, Iss 1, p 45 (2019)

Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is important, since they are kn

Externí odkaz: https://doaj.org/article/2196b55e73964e9ebe4efe8bbcc623d1

Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images

Autor: Emre Sümer, Koray Açıcı, Salih Beyaz

Publikováno v: Health and Technology. 11:643-653

Femoral neck fractures are a serious health problem, especially in the elderly population. Misdiagnosis leads to improper treatment and adversely affects the quality of life of the patients. On the other hand, when looking from the perspective of ort

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f60076c9d92238b24ecc5d4ddedcbf27
https://doi.org/10.1007/s12553-021-00543-9

T4SS Effector Protein Prediction with Deep Learning

Autor: Hasan Ogul, Çağatay Berke Erdaş, Tunç Aşuroğlu, Koray Açıcı

Publikováno v: Data
Volume 4
Issue 1
Açıcı, K, Aşuroğlu, T, Erdaş, Ç & Oğul, H 2019, ' T4SS Effector Protein Prediction with Deep Learning ', Data, vol. 4, no. 1, 45 . https://doi.org/10.3390/data4010045
Data, Vol 4, Iss 1, p 45 (2019)

Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is important, since they are kn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08a4b7b1730efe997ab44059c4d0221e
https://hdl.handle.net/11250/2634005

HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors

Autor: Çağatay Berke Erdaş, Hasan Ogul, Tunç Aşuroğlu, Koray Açıcı

Publikováno v: Data
Açıcı, K, Erdaş, Ç B, Aşuroğlu, T & Oğul, H 2018, ' HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors ', Data, vol. 3, no. 3, 24 . https://doi.org/10.3390/data3030024
Data, Vol 3, Iss 3, p 24 (2018)

Being aware of a personal context is a promising task for various applications, such as biometry, human-computer interactions, telemonitoring, remote care, mobile marketing and security. The task can be formally defined as the classification of a per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff16ad50ac5028b2cef4c3dd656dbeb1
https://cris.vtt.fi/en/publications/80dee919-8d2b-4691-87e6-ac59e0235d55