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akaturk Akademik ölçüm

OpenAlex konusu

Statistical Mechanics and Entropy

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 487 eser 16 yazar konusu

Çalışmalar

487 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    This paper presents a random set based approach to tracking of an unknown number of extended targets, in the presence of clutter measurements and missed detections, where the targets' extensions are modeled as random matrices. For this purpose, the random matrix framework developed recently by Koch is adapted into the…

  2. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 96.1%

    In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical results were obtained t…

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.5%

    Using the existing collected data from European and African countries, we present a statistical analysis of forecast of the future number of daily deaths and infections up to 10 September 2020. We presented numerous statistical analyses of collected data from both continents using numerous existing statistical theorie…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.2%

    This paper presents a new prediction update for extended targets whose extensions are modeled as random matrices. The prediction is based on several minimizations of the Kullback-Leibler divergence (KL-div) and allows for a kinematic state dependent transformation of the target extension. The results show that the ext…

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 94.0%

    In extended/group target tracking, where the extensions of the targets are estimated, target spawning and combination events might have significant implications on the extensions. This paper investigates target spawning and combination events for the case that the target extensions are modeled in a random matrix frame…

  7. YÖKSİS OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  8. YÖKSİS JCR Q1 OpenAlex üst %10 OpenAlex 96.9%

    Return distributions of the coherent noise model are studied for the system-size-independent case. It is shown that, in this case, these distributions are in the shape of q Gaussians, which are the standard distributions obtained in nonextensive statistical mechanics. Moreover, an exact relation connecting the exponen…

  9. YÖKSİS JCR Q1 OpenAlex üst %10 OpenAlex 95.9%

    An outstanding idea originally introduced by Greenberg is to investigate whether there is equivalence between intermediate statistics, which may be different from anyonic statistics, and q-deformed particle algebra. Also, a model to be studied for addressing such an idea could possibly provide us some new consequences…

  10. YÖKSİS JCR Q1 OpenAlex üst %10 OpenAlex 96.0%

    An outstanding idea originally introduced by Greenberg is to investigate whether there is equivalence between intermediate statistics, which may be different from anyonic statistics, and q-deformed particle algebra. Also, a model to be studied for addressing such an idea could possibly provide us some new consequences…

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 91.4%

    We present a physical framework that can account for most of the observed spectral properties of prompt gamma-ray burst emission. This includes the variety of spectral shapes and shape evolutions, and spectral correlations between flux and spectral peaks within bursts, described by Borgonovo & Ryde, and among bursts d…

  12. YÖKSİS OpenAlex üst %1 OpenAlex 99.9%

    This study presents the power Mira distribution, an innovative three-parameter probability model that improves baseline distributions by including an extra shaping parameter. The suggested distribution has exceptional adaptability in representing various data characteristics, such as left and right skewness, declining…

Akademisyenler

16 akademisyen