Zobrazeno 1 - 10
of 77 421
pro vyhledávání: '"OZTURK, A."'
Autor:
OZTURK, A., CAYIROGLU, I.
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 22, Iss 3, Pp 87-94 (2022)
Scale Invariant Feature Transform (SIFT) is the most dominant and robust object detection algorithm. It utilizes the Histogram of Oriented Gradients (HOG) method for feature computation. HOG is applied with trilinear interpolation to gain performan
Externí odkaz:
https://doaj.org/article/1a0d52f77dc549cabc9f2c5472bdea77
This paper investigates the maximum downlink spectral efficiency of low earth orbit (LEO) constellations. Spectral efficiency, in this context, refers to the sum rate of the entire network per unit spectrum per unit area on the earth's surface. For p
Externí odkaz:
http://arxiv.org/abs/2412.00235
Autor:
Ghazalian, Reza, Zheng, Pinjun, Chen, Hui, Ozturk, Cuneyd, Keskin, Musa Furkan, Sciancalepore, Vincenzo, Gezici, Sinan, Al-Naffouri, Tareq Y., Wymeersch, Henk
Reconfigurable intelligent surfaces (RISs) are key enablers for integrated sensing and communication (ISAC) systems in the 6G communication era. With the capability of dynamically shaping the channel, RISs can enhance communication coverage. Addition
Externí odkaz:
http://arxiv.org/abs/2409.16931
Autor:
Ozturk, Dilan, Saraber, Pepijn, Bielawski, Kevin, Giudici, Alessandro, Schurgers, Leon, Reesink, Koen, Schoukens, Maarten
Publikováno v:
2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Biological tissue integrity is actively maintained by cells. It is essential to comprehend how cells accomplish this in order to stage tissue diseases. However, addressing the complexity of a cell's system of interrelated mechanisms poses a challenge
Externí odkaz:
http://arxiv.org/abs/2409.16825
Recently, the centerline has become a popular representation of lanes due to its advantages in solving the road topology problem. To enhance centerline prediction, we have developed a new approach called TopoMask. Unlike previous methods that rely on
Externí odkaz:
http://arxiv.org/abs/2409.11325
Autor:
Sayin, Irem, Gursoy, Rana, Cicek, Buse, Mert, Yunus Emre, Ozturk, Fatih, Pamukcu, Taha Emre, Sevimli, Ceylin Deniz, Uvet, Huseyin
This study develops a Convolutional Neural Network (CNN) model for detecting myocardial infarction (MI) from Electrocardiogram (ECG) images. The model, built using the InceptionV3 architecture and optimized through transfer learning, was trained usin
Externí odkaz:
http://arxiv.org/abs/2408.16800
Molecular communication (MC) is a bio-inspired method of transmitting information using biochemical signals, promising for novel medical, agricultural, and environmental applications at the intersection of bio-, nano-, and communication technologies.
Externí odkaz:
http://arxiv.org/abs/2408.09835
Autor:
Çiloğlu, Berk, Koç, Görkem Berkay, Shamsabadi, Afsoon Alidadi, Ozturk, Metin, Yanikomeroglu, Halim
Generative-AI (GenAI), a novel technology capable of producing various types of outputs, including text, images, and videos, offers significant potential for wireless communications. This article introduces the concept of strategic demand-planning th
Externí odkaz:
http://arxiv.org/abs/2407.02292
Autor:
Ozturk, Caglar, Pak, Daniel H., Rosalia, Luca, Goswami, Debkalpa, Robakowski, Mary E., McKay, Raymond, Nguyen, Christopher T., Duncan, James S., Roche, Ellen T.
Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use
Externí odkaz:
http://arxiv.org/abs/2407.00535
Autor:
Kaas, Marten H. L., Burr, Christopher, Porter, Zoe, Ozturk, Berk, Ryan, Philippa, Katell, Michael, Polo, Nuala, Westerling, Kalle, Habli, Ibrahim
Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and the development of fair AI-enabled systems is required by new and emerging AI regulation. But most approaches to addressing the fairness of AI-enabled s
Externí odkaz:
http://arxiv.org/abs/2406.09029