Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Emre Akbas"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3295 (2024)
Applying deep learning algorithms in the construction industry holds tremendous potential for enhancing site management, safety, and efficiency. The development of such algorithms necessitates a comprehensive and diverse image dataset. This study int
Externí odkaz:
https://doaj.org/article/aabd09e308ca4bb7989c8db54d6f6898
Publikováno v:
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, Vol 59, Iss 1, Pp 1-5 (2023)
Abstract Background Cavernous sinus thrombosis (CST) is a very rare disease and can occur as a result of pharyngitis, a face infection, sinusitis, orbital cellulitis, otitis, traumatic injury, or surgery, particularly if the patient has a thrombophil
Externí odkaz:
https://doaj.org/article/3e0d0e4b3ba044ee9a04c42dae8cf3be
Publikováno v:
Archives of Medical Science, Vol 18, Iss 4, Pp 1123-1126 (2022)
Externí odkaz:
https://doaj.org/article/0a1ee811f1b54cdfac64250e6237e74f
Autor:
Ezgi Aslan, Emre Akbas, Sena Yilmaz, Ahmet Salih Karaoglu, Ubeyde Telli, Salih Yildirim, Hilal Gudek, Mahmut Tayyar Kalcioglu, Sarenur Yilmaz, İbrahim Akalin
Publikováno v:
İstanbul Kuzey Klinikleri, Vol 5, Iss 3, Pp 238-245 (2018)
INTRODUCTION[|]The molecular events underlying ear development involve numerous regulatory molecules; however, the role of microRNAs (miRNAs) has not been explored in patients with ear atresia. Here, we aimed to investigate the expressions of 20–22
Externí odkaz:
https://doaj.org/article/5d75cbbc90fd4d8f91968c937a808854
Autor:
Emre Akbas, Miguel P Eckstein
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 10, p e1005743 (2017)
Humans and many other species sense visual information with varying spatial resolution across the visual field (foveated vision) and deploy eye movements to actively sample regions of interests in scenes. The advantage of such varying resolution arch
Externí odkaz:
https://doaj.org/article/377f6d152d8048fe831654978aa98252
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:9446-9463
Despite being widely used as a performance measure for visual detection tasks, Average Precision (AP) is limited in (i) reflecting localisation quality, (ii) interpretability and (iii) robustness to the design choices regarding its computation, and i
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-15
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method. Inspired by the Generalized Hough Transform, HoughNet determines the presence of an object at a certain location by the sum of the votes cast on
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b31319fbab7bab0f9c8c708f58e7a96e
https://doi.org/10.1007/978-3-031-20083-0_12
https://doi.org/10.1007/978-3-031-20083-0_12
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
We introduce a new method for generating color images from sketches or edge maps. Current methods either require some form of additional user-guidance or are limited to the "paired" translation approach. We argue that segmentation information could p
In this paper, we present a comprehensive review of the imbalance problems in object detection. To analyze the problems in a systematic manner, we introduce a problem-based taxonomy. Following this taxonomy, we discuss each problem in depth and prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0503a23fbbcf5bcb87f4b4ec0d609bc9
https://aperta.ulakbim.gov.tr/record/233568
https://aperta.ulakbim.gov.tr/record/233568