Results 11 to 20 of about 2,518,393 (263)
Sampling of Random Data Streams
Advances in Electrical and Electronic Engineering, 2011 Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources.
Gustav Cepciansky, Ladislav Schwartz
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Determination of Sample Size and Observation Units
International Journal of Assessment Tools in Education, 2019 The purpose of this study was to write programsto define sampling sizes and observation units by probability sampling methodsand to provide an idea for software developers. Thealgorithms of the programs were written in Python 3.
Tülin Acar
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Viruses, 2022 Infectious bursal disease (IBD), caused by IBD virus (IBDV), threatens the health of the poultry industry. Recently, a subtype of genogroup (G) 2 IBDV named G2d has brought a new threat to the poultry industry.
Tuyet Ngan Thai +4 more
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On Certified Randomness from Fourier Sampling or Random Circuit Sampling [PDF]
QuantumCertified randomness has a long history in quantum information, with many potential applications. Recently Aaronson and Hung proposed a novel public certified randomness protocol based on existing random circuit sampling (RCS) experiments.
Roozbeh Bassirian +4 more
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Estimating and Sampling Graphs with Multidimensional Random Walks [PDF]
, 2010 Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random walks are useful but have drawbacks.
Ribeiro, Bruno, Towsley, Don
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Journal of Freshwater Ecology, 2019 Characterizing the structure of riverine fish populations that are patchily distributed and at low densities is often difficult. Due to the wide distribution but low abundance of Spotted Bass, Micropterus punctulatus, throughout the lower Wabash River ...
Evan C. Boone +4 more
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Psychiatry and Behavioral Sciences, 2013 Most of the studies related to health are conducted with samples. Selection of sampling may be performed with random or nonrandom sampling methods. Sampling methods may vary with respect to some characteristics of study population, researchers’ ...
Selim Kılıc
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A CFAR Algorithm Based on Monte Carlo Method for Millimeter-Wave Radar Road Traffic Target Detection
Remote Sensing, 2022 The development of Intelligent Transportation Systems (ITS) puts forward higher requirements for millimeter-wave radar surveillance in the traffic environment, such as lower time delay, higher sensitivity, and better multi-target detection capability ...
Bo Yang, Hua Zhang
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Random Sampling Many-Dimensional Sets Arising in Control
Mathematics, 2021 Various Monte Carlo techniques for random point generation over sets of interest are widely used in many areas of computational mathematics, optimization, data processing, etc.
Pavel Shcherbakov +2 more
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An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Remote Sensing, 2023 Data-driven flood susceptibility modeling is an efficient way to map the spatial distribution of flood likelihood. The quality of the flood susceptibility model relies on the learning technique and the data used for learning.
Changpeng Wang +5 more
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