Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Yusuf Sinan"'
Autor:
Ayse Serbetci, Yusuf Sinan Akgul
Publikováno v:
IEEE Access, Vol 11, Pp 59446-59455 (2023)
This study aims to leverage Binary Neural Networks (BNN) to learn binary hash codes for efficient person re-identification (ReID). BNNs, which use binary weights and activations, show promise in speeding up the inference time in deep models. However,
Externí odkaz:
https://doaj.org/article/b9a97df0107e4c0493361543423b2181
Autor:
Abdullah Akay, Yusuf Sinan Akgul
Publikováno v:
IEEE Access, Vol 10, Pp 16700-16719 (2022)
Teleoperation systems have been getting significant attention from many application areas for decades. However, classical teleoperation systems suffer from problems such as lack of natural feedback, latency, and inefficient operator throughput. Resea
Externí odkaz:
https://doaj.org/article/913d7d77bae6421dad496d637012019e
Autor:
Meltem Cetiner, Yusuf Sinan Akgül
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 9, Iss 6, Pp 83-94 (2021)
Doğal dil işleme çalışmaları, yapay zekada olduğu gibi veri artışına bağlı olarak hız kazanan alanlardan biridir. Bu çalışmada, ele alınan hukuk dokümanlarının da zaman içerisinde örnekleri artmaktadır. Bir davada emsal olarak
Externí odkaz:
https://doaj.org/article/23665719d54d4738b7f914a248b9b4e0
Autor:
Fazle Rakib, Ebrahim M.A.S. Al-Ansari, Yusuf Sinan Husrevoglu, Oguz Yigiterhan, Ibrahim Al-Maslamani, Valliyil Mohammed Aboobacker, Ponnumony Vethamony
Publikováno v:
Oceanologia, Vol 63, Iss 2, Pp 227-237 (2021)
In situ measurements of physical and biogeochemical variables were conducted along a transect in the Exclusive Economic Zone (EEZ) of Qatar during late summer (September 2014) and winter (January 2015) to investigate their vertical, spatial and tempo
Externí odkaz:
https://doaj.org/article/be4779e6bca64029a1a9ed757c0d6ef6
Autor:
Özlem Yıldırımtürk, Emre Aslanger, Emrah Bozbeyoğlu, Barış Şimşek, Mustafa Aytek Şimşek, Yusuf Sinan Aydın, Can Yücel Karabay, Muzaffer Murat Değertekin
Publikováno v:
Anatolian Journal of Cardiology, Vol 23, Iss 6, Pp 318-323 (2020)
Objective: In a subgroup of patients with inferior myocardial infarction (MI), both the right coronary artery (RCA) and circumflex coronary artery (Cx) show potentially culprit lesions, and angiography may be insufficient to determine which artery is
Externí odkaz:
https://doaj.org/article/39401ef055044bcc876d79677efaa14c
Autor:
Nur Banu Albayrak, Yusuf Sinan Akgul
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1390 (2022)
Estimation of the prostate volume with ultrasound offers many advantages such as portability, low cost, harmlessness, and suitability for real-time operation. Abdominal Ultrasound (AUS) is a practical procedure that deserves more attention in automat
Externí odkaz:
https://doaj.org/article/425830f35d384ab69654cf104eaf767c
Autor:
Serbetci, Ayse, Akgul, Yusuf Sinan
Publikováno v:
Pattern Recognition, 104, 107319 (2020)
We propose an end-to-end ensemble method for person re-identification (ReID) to address the problem of overfitting in discriminative models. These models are known to converge easily, but they are biased to the training data in general and may produc
Externí odkaz:
http://arxiv.org/abs/2010.01342
Autor:
Yucer, Seyma, Tektas, Furkan, Kilinc, Mesih Veysi, Kandemir, Ilyas, Celebi, Hasari, Genc, Yakup, Akgul, Yusuf Sinan
Localization of a target object has been performed conventionally using multiple terrestrial reference nodes. This paradigm is recently shifted towards utilization of unmanned aerial vehicles (UAVs) for locating target objects. Since locating of a ta
Externí odkaz:
http://arxiv.org/abs/2004.10083
Autor:
Yucer, Seyma, Akgul, Yusuf Sinan
Publikováno v:
Journal of Image and Graphics,2018
This paper proposes a new 3D Human Action Recognition system as a two-phase system: (1) Deep Metric Learning Module which learns a similarity metric between two 3D joint sequences using Siamese-LSTM networks; (2) A Multiclass Classification Module th
Externí odkaz:
http://arxiv.org/abs/1807.02131
Publikováno v:
In Hand Surgery and Rehabilitation September 2021 40(4):394-399