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AGN Triggering in the Infall Regions of Distant X-Ray Luminous Galaxy Clusters at 0.9
Advances in Astronomy, 2012 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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Fitting Latent Cluster Models for Networks with latentnet [PDF]
Journal of Statistical Software, 2007 latentnet is a package to fit and evaluate statistical latent position and cluster models for networks. Hoff, Raftery, and Handcock (2002) suggested an approach to modeling networks based on positing the existence of an latent space of characteristics of ...
Pavel N. Krivitsky, Mark S. Handcock
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AUTOMATIC METHOD FOR GENERATING 3D BUILDING MODELS WITH TEXTURE FROM UAV IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In this paper, we propose a method for automatically generating 3D building models from UAV image based point cloud data and for mapping building texture from UAV images.
H. G. Kim, W. Yoon, S. Rhee, T. Kim
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Statistical Convergence via q-Calculus and a Korovkin’s Type Approximation Theorem
Axioms, 2022 In this paper, we define and study q-statistical limit point, q-statistical cluster point, q-statistically Cauchy, q-strongly Cesàro and statistically C1q-summable sequences.
Mohammad Ayman Mursaleen +1 more
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International Journal of Health Geographics, 2021 Background Cancer epidemiology studies require sufficient power to assess spatial relationships between exposures and cancer incidence accurately. However, methods for power calculations of spatial statistics are complicated and underdeveloped, and ...
Ian D. Buller +4 more
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Point Cloud Denoising Algorithm via Geometric Metrics on the Statistical Manifold
Applied Sciences, 2023 A denoising algorithm was proposed for point cloud with high-density noise. The algorithm utilized geometric metrics on the statistical manifold and applied the idea of clustering K-means based on local statistical characteristics between noise and valid
Xiaomin Duan, Li Feng, Xinyu Zhao
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Period Identification for Electromyography Signals of Children’s Lower Limb Based on Statistical Clustering Method [PDF]
Jisuanji gongcheng, 2021 To promote the application of Electromyography(EMG) signals in the analysis of differences between normal children and children with hip dislocation,this paper proposes a method based on statistical clustering for detecting the starting point of the ...
YAN Chengqi, ZHAO Lihua, CHEN Mengjie, ZHOU Jun
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Frontiers in Physics, 2022 Statistical physicists and social scientists both extensively study some characteristic features of the unequal distributions of energy, cluster, or avalanche sizes and of income, wealth, etc., among the particles (or sites) and population, respectively.
Asim Ghosh +3 more
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A MODIFIED ENERGY STATISTIC FOR UNSUPERVISED ANOMALY DETECTION
International Journal of Prognostics and Health Management, 2021 For prognostics in industrial applications, the degree of anomaly of a test point from a baseline cluster is estimated using a statistical distance metric.
Rupam Mukherjee
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Statistical Modeling of RPCA-FCM in Spatiotemporal Rainfall Patterns Recognition
Atmosphere, 2022 This study was conducted to identify the spatiotemporal torrential rainfall patterns of the East Coast of Peninsular Malaysia, as it is the region most affected by the torrential rainfall of the Northeast Monsoon season.
Siti Mariana Che Mat Nor +5 more
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