Zobrazeno 1 - 10
of 282 276
pro vyhledávání: '"Has, Murat"'
Autor:
Babaarslan, Murat, Sungur, Ahmet
Publikováno v:
5.International Cappadocia Scientific Research Congress, Nev\c{s}ehir, T\"urkiye, November 5-07, 2023, Pages 1215-1223
Special curves and surfaces have an important place in mathematics, engineering and other fields of science. Loxodromes are special curves which cut all meridians on the Earth's surface at a constant angle and they are very popular in engineering. Sh
Externí odkaz:
http://arxiv.org/abs/2412.18229
This paper presents the innovative HPCNeuroNet model, a pioneering fusion of Spiking Neural Networks (SNNs), Transformers, and high-performance computing tailored for particle physics, particularly in particle identification from detector responses.
Externí odkaz:
http://arxiv.org/abs/2412.17571
Autor:
Hayyolalam, Vahideh, Zekiye, Abdulrezzak, Abuzahra, Hamza, Ozkasap, Oznur, Karakus, Murat, Guler, Evrim, Uludag, Suleyman
Peer-to-peer (P2P) energy trading, Smart Grids (SG), and electric vehicle energy management are integral components of the Internet of Energy (IoE) field. The integration of Software-Defined Networks (SDNs) and Blockchain (BC) technologies into the I
Externí odkaz:
http://arxiv.org/abs/2412.17530
In this paper, we study $K^{\alpha}$--translators on parallel surfaces and canal surfaces in 3-dimensional Euclidean space $\mathbb{E}^3$. First, we investigate the condition under which two parallel surfaces can become $K^{\alpha}$--translators movi
Externí odkaz:
http://arxiv.org/abs/2412.15612
In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various applications. This paper introduces a novel 3-dimensional framework tha
Externí odkaz:
http://arxiv.org/abs/2412.11683
The rise of chronic diseases and pandemics like COVID-19 has emphasized the need for effective patient data processing while ensuring privacy through anonymization and de-identification of protected health information (PHI). Anonymized data facilitat
Externí odkaz:
http://arxiv.org/abs/2412.10918
Autor:
Kilickaya, Sertac, Ahishali, Mete, Celebioglu, Cansu, Sohrab, Fahad, Eren, Levent, Ince, Turker, Askar, Murat, Gabbouj, Moncef
The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for effective condition monitoring of machinery. Microphones offer a low-cos
Externí odkaz:
http://arxiv.org/abs/2412.10792
Condition monitoring of induction machines is crucial to prevent costly interruptions and equipment failure. Mechanical faults such as misalignment and rotor issues are among the most common problems encountered in industrial environments. To effecti
Externí odkaz:
http://arxiv.org/abs/2412.05901
Despite tremendous progress in our understanding of scattering amplitudes in perturbative (super-) gravity, much less is known about other asymptotic observables, such as correlation functions of detector operators. In this paper, we initiate the stu
Externí odkaz:
http://arxiv.org/abs/2412.05384
Advancements in sensor technology offer significant insights into vehicle conditions, unlocking new venues to enhance fleet operations. While current vehicle health management models provide accurate predictions of vehicle failures, they often fail t
Externí odkaz:
http://arxiv.org/abs/2412.04350