Zobrazeno 1 - 10
of 13 897
pro vyhledávání: '"Erden SO"'
Autor:
Robb, David A., Risbridger, Donald, Mills, Ben, Rakhmatulin, Ildar, Kong, Xianwen, Erden, Mustafa, Esser, M. J. Daniel, Carter, Richard M., Chantler, Mike J.
The alignment of optical systems is a critical step in their manufacture. Alignment normally requires considerable knowledge and expertise of skilled operators. The automation of such processes has several potential advantages, but requires additiona
Externí odkaz:
http://arxiv.org/abs/2409.11090
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
Autor:
Khawaja, Wahab, Ezuma, Martins, Semkin, Vasilii, Erden, Fatih, Ozdemir, Ozgur, Guvenc, Ismail
The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While UAVs are expected to transform future air operations, there are instances where they can be use
Externí odkaz:
http://arxiv.org/abs/2402.05909
This study presents a pioneering effort to replicate human neuromechanical experiments within a virtual environment utilising a digital human model. By employing MyoSuite, a state-of-the-art human motion simulation platform enhanced by Reinforcement
Externí odkaz:
http://arxiv.org/abs/2402.02904
This paper presents the ArBanking77, a large Arabic dataset for intent detection in the banking domain. Our dataset was arabized and localized from the original English Banking77 dataset, which consists of 13,083 queries to ArBanking77 dataset with 3
Externí odkaz:
http://arxiv.org/abs/2310.19034
Autor:
Erden, Mehmet Bahadir, Cansiz, Selahattin, Caki, Onur, Khattak, Haya, Etiz, Durmus, Yakar, Melek Cosar, Duruer, Kerem, Barut, Berke, Gunduz-Demir, Cigdem
Encoder-decoder networks become a popular choice for various medical image segmentation tasks. When they are trained with a standard loss function, these networks are not explicitly enforced to preserve the shape integrity of an object in an image. H
Externí odkaz:
http://arxiv.org/abs/2309.12106
Publikováno v:
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract In this study, we firstly derive a Wirtinger-type result, which gives the connection in between the integral of square of a function and the integral of square of its Caputo fractional derivatives with the help of left-sided and right-sided
Externí odkaz:
https://doaj.org/article/183271b39a2e4e0fb3dab6dfb7722f9a
Publikováno v:
İstanbul Medical Journal, Vol 25, Iss 3, Pp 214-218 (2024)
Introduction: In this study, we aimed to determine the functional dominance of the right and left hemispheres of the operated patients and the effectiveness of postoperative pain therapy when the patients underwent surgery on the same or different si
Externí odkaz:
https://doaj.org/article/96ed06e7f4654c92907b63c740f81f81
Autor:
Ünlü, Atabey, Çevrim, Elif, Sarıgün, Ahmet, Yiğit, Melih Gökay, Çelikbilek, Hayriye, Bayram, Osman, Güvenilir, Heval Ataş, Koyaş, Altay, Kahraman, Deniz Cansen, Olğaç, Abdurrahman, Rifaioğlu, Ahmet, Banoğlu, Erden, Doğan, Tunca
Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. Generative deep learning models, which create synthetic data given a probability distribution, offer a high potential for designing de n
Externí odkaz:
http://arxiv.org/abs/2302.07868
One of the most critical issues in machine learning is the selection of appropriate hyper parameters for training models. Machine learning models may be able to reach the best training performance and may increase the ability to generalize using hype
Externí odkaz:
http://arxiv.org/abs/2302.11406