Zobrazeno 1 - 10
of 4 852
pro vyhledávání: '"UNVER A"'
Segmenting multiple objects (e.g., organs) in medical images often requires an understanding of their topology, which simultaneously quantifies the shape of the objects and their positions relative to each other. This understanding is important for s
Externí odkaz:
http://arxiv.org/abs/2408.08038
Publikováno v:
Helminthologia, Vol 58, Iss 2, Pp 152-161 (2021)
In Turkey, cyst hydatid disease (CHD) or cystic echinococcosis (CE) is publicly known as “dog cyst”, a fatal and serious disease not only affects livestock husbandry and human health but also brings about economic loss to our country. According t
Externí odkaz:
https://doaj.org/article/7dd70c29b6b14743a34796f764f083af
Publikováno v:
Eur. Phys. J. C 84, 995 (2024)
Wave equations for some curved spacetimes may involve functions that prevent a solution in a closed form. In some cases, these functions can be eliminated by transformations and the solutions can be found analytically. In the cases where such transfo
Externí odkaz:
http://arxiv.org/abs/2405.16986
Autor:
Unlu, Eren, Ciftci, Unver
Due to the limited availability of high quality datasets for training sentence embeddings in Turkish, we propose a training methodology and a regimen to develop a sentence embedding model. The central idea is simple but effective : is to fine-tune a
Externí odkaz:
http://arxiv.org/abs/2311.09748
Autor:
Unlu, Eren, Ciftci, Unver
Large Language Models (LLMs) are evolving to integrate multiple modalities, such as text, image, and audio into a unified linguistic space. We envision a future direction based on this framework where conceptual entities defined in sequences of text
Externí odkaz:
http://arxiv.org/abs/2310.18390
Segmentation networks are not explicitly imposed to learn global invariants of an image, such as the shape of an object and the geometry between multiple objects, when they are trained with a standard loss function. On the other hand, incorporating s
Externí odkaz:
http://arxiv.org/abs/2307.03137
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 19, Iss 3, Pp 541-544 (2013)
Externí odkaz:
https://doaj.org/article/4e2dcb5a82b14c9ab34b0f97a156e809
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 19, Iss 3, Pp 455-459 (2013)
Externí odkaz:
https://doaj.org/article/8fc8b0e0116840d1b6ab81720c9a9fd7
Obstacle detection is a safety-critical problem in robot navigation, where stereo matching is a popular vision-based approach. While deep neural networks have shown impressive results in computer vision, most of the previous obstacle detection works
Externí odkaz:
http://arxiv.org/abs/2209.08459
Autor:
Buket Altinok Gunes, Omer Faruk Kirlangic, Murat Kilic, Asuman Sunguroglu, Taner Ozgurtas, Ecem Kaya Sezginer, Bahadir Boyacioglu, Huseyin Unver, Mustafa Yildiz
Publikováno v:
ACS Omega, Vol 9, Iss 11, Pp 13342-13358 (2024)
Externí odkaz:
https://doaj.org/article/44810bf6b485410488c90b2112858321