Zobrazeno 1 - 10
of 17 776
pro vyhledávání: '"Yigit, A. A."'
Autor:
Yiğit, Uğur, Koç, Suat
Let $R\ $be an integral domain and $R^{\#}$ the set of all nonzero nonunits of $R.\ $For every elements $a,b\in R^{\#},$ we define $a\sim b$ if and only if $aR=bR,$ that is, $a$ and $b$ are associated elements. Suppose that $EC(R^{\#})$ is the set of
Externí odkaz:
http://arxiv.org/abs/2409.10577
In this paper, we associate a new topology to a nonzero unital module $M$ over a commutative $R$, which is called Golomb topology of the $R$-module $M$. Let $M\ $be an\ $R$-module and $B_{M}$ be the family of coprime cosets $\{m+N\}$ where $m\in M$ a
Externí odkaz:
http://arxiv.org/abs/2409.09807
Autor:
Alsop, Hamish, Alsop, Douglas, Solomon, Joseph, Aumento, Liam, Butters, Mark, Millar, Cameron, Yigit, Yagmur, Maglaras, Leandros, Moradpoor, Naghmeh
End-to-End Encryption (E2EE) ensures that only the intended recipient(s) can read messages. Popular instant messaging (IM) applications such as Signal, WhatsApp, Apple's iMessage, and Telegram claim to offer E2EE. However, client-side scanning (CSS)
Externí odkaz:
http://arxiv.org/abs/2409.04457
Autor:
Salehi, Shavbo, Iturria-Rivera, Pedro Enrique, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundas, Ozcan, Yigit, Erol-Kantarci, Melike
In 5G networks, network slicing has emerged as a pivotal paradigm to address diverse user demands and service requirements. To meet the requirements, reinforcement learning (RL) algorithms have been utilized widely, but this method has the problem of
Externí odkaz:
http://arxiv.org/abs/2408.10376
Autor:
Yigit, Zehra, Basar, Ertugrul
Integrated sensing and communication (ISAC) is recognized as one of the key enabling technologies for sixth-generation (6G) wireless communication networks, facilitating diverse emerging applications and services in an energy and cost-efficient manne
Externí odkaz:
http://arxiv.org/abs/2407.15570
Autor:
Balik, Mehmet Yigit
Predicting hospital length of stay (LOS) reliably is an essential need for efficient resource allocation at hospitals. Traditional predictive modeling tools frequently have difficulty acquiring sufficient and diverse data because healthcare instituti
Externí odkaz:
http://arxiv.org/abs/2407.12741
Modeling and analysis for event series generated by heterogeneous users of various behavioral patterns are closely involved in our daily lives, including credit card fraud detection, online platform user recommendation, and social network analysis. T
Externí odkaz:
http://arxiv.org/abs/2407.05625
Autor:
Ozince, Ekin, Ihlamur, Yiğit
This study explores the application of large language models (LLMs) in venture capital (VC) decision-making, focusing on predicting startup success based on founder characteristics. We utilize LLM prompting techniques, like chain-of-thought, to gener
Externí odkaz:
http://arxiv.org/abs/2407.04885
Autor:
Avci, Mehmet Yigit, Chan, Emily, Zimmer, Veronika, Rueckert, Daniel, Wiestler, Benedikt, Schnabel, Julia A., Bercea, Cosmin I.
With the increasing incidence of neurodegenerative diseases such as Alzheimer's Disease (AD), there is a need for further research that enhances detection and monitoring of the diseases. We present MORPHADE (Morphological Autoencoders for Alzheimer's
Externí odkaz:
http://arxiv.org/abs/2407.03863
Autor:
Ekin, Yigit, Yildirim, Ahmet Burak, Caglar, Erdem Eren, Erdem, Aykut, Erdem, Erkut, Dundar, Aysegul
Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods have achieved notable success, but recent advancements in diffusion m
Externí odkaz:
http://arxiv.org/abs/2406.09368