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Exclusion statistics for particles with a discrete spectrum
We formulate and study the microscopic statistical mechanics of systems of particles with exclusion statistics in a discrete one-body spectrum. The statistical mechanics of these systems can be expressed in terms of effective single-level grand partition
Stéphane Ouvry +1 more
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Clustering, a traditional machine learning method, plays a significant role in data analysis. Most clustering algorithms depend on a predetermined exact number of clusters, whereas, in practice, clusters are usually unpredictable.
Congming Shi +5 more
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Currently, there are very few studies in the dairy sheep sector associating milk quality and indicators regarding carbon footprint and their link to grazing levels.
Javier Plaza +5 more
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The evolution of the fifth-generation (5G)/ beyond 5G (B5G) mobile communication networks greatly depends on the seamless integration of terrestrial and sky networks over advanced multi-tier heterogeneous network (HetNet) infrastructure.
Pengshan Ji +4 more
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Three-Dimensional Virtual Orchard Construction Method Based on Laser Point Cloud
To solve the problems of low level of digitalization of orchard management and relatively single construction method, a three-dimensional virtual orchard construction method based on laser point cloud was proposed in this research.
FENG Han +9 more
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AGN Triggering in the Infall Regions of Distant X-Ray Luminous Galaxy Clusters at 0.9
Observational constraints on the average radial distribution profile of AGN in distant galaxy clusters can provide important clues on the triggering mechanisms of AGN activity in dense environments and are essential for a completeness evaluation of ...
R. Fassbender, R. Šuhada, A. Nastasi
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Modeling Scheme of Multi-Layer Heterogeneous Network for Dense Hotspot Area [PDF]
To address the heterogeneity in Base Station(BS) deployment and the coupling between User Equipment (UE) and BS in the hotspot communication scenario of the fifth-generation(5G)/beyond 5G(B5G) networks,this paper proposes a three-layer heterogeneous ...
Lü Yaping, JIA Xiangdong, CHEN Yuwan, LU Yi
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STATISTICAL CONVERGENCE IN TOPOLOGICAL SPACE CONTROLLED BY MODULUS FUNCTION
The notion of \(f\)-statistical convergence in topological space, which is actually a statistical convergence's generalization under the influence of unbounded modulus function is presented and explored in this paper.
Parthiba Das +2 more
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Clustering approaches are one of the probabilistic load flow (PLF) methods in distribution networks that can be used to obtain output random variables, with much less computation burden and time than the Monte Carlo simulation (MCS) method.
Morsal Salehi, Mohammad Mahdi Rezaei
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In this paper, the Fibonacci sequence, renowned for its significance across various fields, its ability to illuminate numerical concepts, and its role in uncovering patterns in mathematics and nature, forms the foundation of this research.
Ibrahim S. Ibrahim +5 more
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