Zobrazeno 1 - 10
of 1 826
pro vyhledávání: '"A. Alaca"'
Nanowires play a pivotal role across a spectrum of disciplines such as nanoelectromechanical systems, nanoelectronics, and energy applications. As nanowires continue to diminish in dimensions, their mechanical characteristics are increasingly influen
Externí odkaz:
http://arxiv.org/abs/2308.13610
The practice of code reuse is crucial in software development for a faster and more efficient development lifecycle. In reality, however, code reuse practices lack proper control, resulting in issues such as vulnerability propagation and intellectual
Externí odkaz:
http://arxiv.org/abs/2307.10631
Silicon nanowires have attracted considerable interest due to their wide-ranging applications in nanoelectromechanical systems and nanoelectronics. Molecular dynamics simulations are powerful tools for studying the mechanical properties of nanowires.
Externí odkaz:
http://arxiv.org/abs/2307.03650
Autor:
Millar, Goldwyn, Kulhandjian, Michel, Alaca, Ayse, Alaca, Saban, D'Amours, Claude, Yanikomeroglu, Halim
NOMA) technique based on an algebraic design is studied. We propose an improved low-density spreading (LDS) sequence design based on projective geometry. In terms of its bit error rate (BER) performance, our proposed improved LDS code set outperforms
Externí odkaz:
http://arxiv.org/abs/2201.00204
Autor:
Aydemir, Duygu, Salman, Naveed, Kerimzade, Umut, Anapali-Aykac, Merve, Ulutin, Turgut, Komurcu-Bayrak, Evrim, Kaya-Dagistanli, Fatma, Alaca, B. Erdem, Ulusu, Nuriye Nuray
Publikováno v:
In Journal of Trace Elements in Medicine and Biology December 2024 86
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In Placenta December 2024 158:1-9
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In Journal of Pediatric Nursing November-December 2024 79:181-185
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In Computers and Chemical Engineering October 2024 189
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In Computational Materials Science January 2025 246
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 11, Pp 653-664 (2024)
Rapid and accurate identification of events in power grids is critical to ensuring system reliability and security. This study introduces a novel event-type identification method, utilizing a Spectral Correlation Function (SCF)-aided Convolutional Ne
Externí odkaz:
https://doaj.org/article/24da2543a1c04d6bba690dc3efac1ac1