Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Erkan BOSTANCI"'
Autor:
Adnan Sahin Karaca, Erkan Bostanci, Didem Ketenoglu, Manuel Harder, Ali Can Canbay, Bora Ketenoglu, Engin Eren, Ayhan Aydin, Zhong Yin, Mehmet Serdar Guzel, Michael Martins
Publikováno v:
Journal of Synchrotron Radiation, Vol 31, Iss 2, Pp 420-429 (2024)
Alignment of each optical element at a synchrotron beamline takes days, even weeks, for each experiment costing valuable beam time. Evolutionary algorithms (EAs), efficient heuristic search methods based on Darwinian evolution, can be utilized for mu
Externí odkaz:
https://doaj.org/article/638bc4a3b58e445198009bca74060ca9
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:
Journal of Radiation Research and Applied Sciences, Vol 15, Iss 3, Pp 191-197 (2022)
Recently, radiation therapy with protons has received much attention. In 2020, nearly 250,000 patients in 110 centers around the world preferred radiation therapy with protons for treatment. One of them, proton-based stereotactic radiosurgery, is a t
Externí odkaz:
https://doaj.org/article/43e930d30d2741ee9ee21fb5e42088f2
Publikováno v:
IEEE Access, Vol 10, Pp 35287-35301 (2022)
This paper addresses the problem of navigating decentralized multi-agent systems in partially cluttered environments and proposes a new machine-learning-based approach to solve it. On the basis of this approach, a new robust and flexible Q-learning-b
Externí odkaz:
https://doaj.org/article/76220c71b53b4d3999de22dea8e8194d
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2835 (2023)
Human microbiota refers to the trillions of microorganisms that inhabit our bodies and have been discovered to have a substantial impact on human health and disease. By sampling the microbiota, it is possible to generate massive quantities of data fo
Externí odkaz:
https://doaj.org/article/73f2f54436a842c08fb503867ec99b4e
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8665 (2023)
In this study, transfer learning has been used to overcome multilabel classification tasks. As a case study, movie genre classification by using posters has been chosen. Six state-of-the-art pretrained models, VGG16, ResNet, DenseNet, Inception, Mobi
Externí odkaz:
https://doaj.org/article/13a9cde9289b40d1b493abbeed750076
Autor:
Esra Sivari, Guler Burcu Senirkentli, Erkan Bostanci, Mehmet Serdar Guzel, Koray Acici, Tunc Asuroglu
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2512 (2023)
Deep learning and diagnostic applications in oral and dental health have received significant attention recently. In this review, studies applying deep learning to diagnose anomalies and diseases in dental image material were systematically compiled,
Externí odkaz:
https://doaj.org/article/73e60be2b4f14e418168b12d1119ef71
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6025 (2023)
The world’s high-resolution images are supplied by a radar system named Synthetic Aperture Radar (SAR). Semantic SAR image segmentation proposes a computer-based solution to make segmentation tasks easier. When conducting scientific research, acces
Externí odkaz:
https://doaj.org/article/aa74744fde114b1ba5b949c56b37a862
Publikováno v:
Sensors, Vol 23, Iss 6, p 3080 (2023)
Data from omics studies have been used for prediction and classification of various diseases in biomedical and bioinformatics research. In recent years, Machine Learning (ML) algorithms have been used in many different fields related to healthcare sy
Externí odkaz:
https://doaj.org/article/0ba0696785e94b559660448b969b60c8
Autor:
Esra Sivari, Erkan Bostanci, Mehmet Serdar Guzel, Koray Acici, Tunc Asuroglu, Tulin Ercelebi Ayyildiz
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 720 (2023)
Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist experience and inter-observer variability. This variability can cause minor lesions to be missed and prevent early diagnosis. In this study, deep learning-based
Externí odkaz:
https://doaj.org/article/a26cc668c2bd4a89bb2ad9e201e85147