Zobrazeno 1 - 10
of 19 157
pro vyhledávání: '"Tunc AS"'
Autor:
Saman Shahid, Aamir Wali, Sadaf Iftikhar, Suneela Shaukat, Shahid Zikria, Jawad Rasheed, Tunc Asuroglu
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37743- (2024)
An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image interpretation automation. An
Externí odkaz:
https://doaj.org/article/a773ba09a4b3449294ce193dff797846
Publikováno v:
IEEE Access, Vol 12, Pp 108154-108175 (2024)
Galactic Swarm Optimization (GSO) is an optimization method inspired by the movements of stars and star clusters in the galaxy. This method aims to find the best solution in two phases using other known optimization methods. The first phase explores
Externí odkaz:
https://doaj.org/article/29bed1890a8340469f6337b0cb7d960c
Autor:
Yasemin Gokcekuyu, Fatih Ekinci, Mehmet Serdar Guzel, Koray Acici, Sahin Aydin, Tunc Asuroglu
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6590 (2024)
The importance of biomaterials lies in their fundamental roles in medical applications such as tissue engineering, drug delivery, implantable devices, and radiological phantoms, with their interactions with biological systems being critically importa
Externí odkaz:
https://doaj.org/article/054c61dcdbf04cdfa3cbe2445096d11e
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6673 (2024)
This study details the unique advantages and challenges associated with microreactors. Microreactors offer rapid installation and flexible application capabilities, meeting energy needs in remote and inaccessible areas. Unlike large nuclear power pla
Externí odkaz:
https://doaj.org/article/a0134abd4d9242ac8f22bafa9810b53f
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
Autor:
Irem Nur Ecemis, Fatih Ekinci, Koray Acici, Mehmet Serdar Guzel, Ihsan Tolga Medeni, Tunc Asuroglu
Publikováno v:
Energies, Vol 17, Iss 12, p 3028 (2024)
Ensuring safe and transparent tracking of nuclear materials in the modern era is critical for global security and compliance with international regulations. Blockchain technology, a decentralized and immutable ledger, offers a new approach to recordi
Externí odkaz:
https://doaj.org/article/8d76f822905f40839df1a40d9b7f589e
Publikováno v:
PeerJ Computer Science, Vol 10, p e1779 (2024)
Clouds play a pivotal role in determining the weather, impacting the daily lives of everyone. The cloud type can offer insights into whether the weather will be sunny or rainy and even serve as a warning for severe and stormy conditions. Classified i
Externí odkaz:
https://doaj.org/article/f81be0df681f47c98f2097f49d6772b8
Publikováno v:
IEEE Access, Vol 11, Pp 118186-118203 (2023)
The field of steganography has witnessed considerable advancements in square-pixel-based image processing (SIP). However, the application of steganography in Hexel (Hexagonal pixel)-based Image Processing (HIP) is still underexplored. This study intr
Externí odkaz:
https://doaj.org/article/da4985c340da451187a664c5e1f814b4
Autor:
Sifa Ozsari, Fatima Rabia Yapicioglu, Dilek Yilmaz, Kivanc Kamburoglu, Mehmet Serdar Guzel, Gazi Erkan Bostanci, Koray Acici, Tunc Asuroglu
Publikováno v:
IEEE Access, Vol 11, Pp 49102-49113 (2023)
In recent years, Machine Learning (ML), especially Deep Learning (DL) approaches, has attracted great attention in medical field. In this study, we proposed a deep learning-based approach in order to automatically diagnose Temporomandibular Disorder
Externí odkaz:
https://doaj.org/article/7daabde8b6a8478c91cce2fe21b8a98e
Publikováno v:
Finnish Journal of eHealth and eWelfare, Vol 15, Iss 2 (2023)
The COVend project aims at delivering a new effective therapy, FX06, against the SARS-CoV-2 virus infection for the management of the COVID-19 disease in hospitals. Nine of the 17 partners of the project consortium are hospitals responsible for colle
Externí odkaz:
https://doaj.org/article/9fed29f9e73a4635a84cf273b00d83f4