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pro vyhledávání: '"Guven A"'
Autor:
Gray, Richard, Seymour, Matt, Magill, Laura, Handley, Kelly, Quirke, Philip, West, Nick, Morton, Dion
Publikováno v:
Journal of Clinical Oncology; 10/20/2023, Vol. 41 Issue 30, p4823-4824, 3p
Global trade is shaped by a complex mix of factors beyond supply and demand, including tangible variables like transport costs and tariffs, as well as less quantifiable influences such as political and economic relations. Traditionally, economists mo
Externí odkaz:
http://arxiv.org/abs/2409.06554
This study introduces a decentralized approach to secure wireless communication using a cryptographic secret key generation algorithm among distributed nodes. The system model employs Gaussian prime numbers, ensuring the collaborative generation of a
Externí odkaz:
http://arxiv.org/abs/2407.10276
Autor:
Guven, Eray, Kurt, Gunes Karabulut
Machine unlearning (MUL) is introduced as a means to achieve interference cancellation within artificial intelligence (AI)-enabled wireless systems. It is observed that interference cancellation with MUL demonstrates $30\%$ improvement in a classific
Externí odkaz:
http://arxiv.org/abs/2406.05945
Akademický článek
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Autor:
Geredeli, Pelin Guven
In this work, the dynamics of a multilayered structure-fluid interaction (FSI) PDE system is considered. Here, the coupling of 3D Stokes and 3D elastic dynamics is realized via an additional 2D elastic equation on the boundary interface. Such modelin
Externí odkaz:
http://arxiv.org/abs/2405.13612
Autor:
Renze, Matthew, Guven, Erhan
In this study, we investigated the effects of self-reflection in large language models (LLMs) on problem-solving performance. We instructed nine popular LLMs to answer a series of multiple-choice questions to provide a performance baseline. For each
Externí odkaz:
http://arxiv.org/abs/2405.06682
Interplanetary links (IPL) serve as crucial enablers for space exploration, facilitating secure and adaptable space missions. An integrated IPL with inter-satellite communication (IP-ISL) establishes a unified deep space network, expanding coverage a
Externí odkaz:
http://arxiv.org/abs/2405.00887
In this paper, we tackle the task of generating Prediction Intervals (PIs) in high-risk scenarios by proposing enhancements for learning Interval Type-2 (IT2) Fuzzy Logic Systems (FLSs) to address their learning challenges. In this context, we first
Externí odkaz:
http://arxiv.org/abs/2404.12802
General Type-2 (GT2) Fuzzy Logic Systems (FLSs) are perfect candidates to quantify uncertainty, which is crucial for informed decisions in high-risk tasks, as they are powerful tools in representing uncertainty. In this paper, we travel back in time
Externí odkaz:
http://arxiv.org/abs/2404.12800