Results 11 to 20 of about 2,532,241 (263)

Multi-Descriptor Random Sampling for Patch-Based Face Recognition

Applied Sciences, 2021
While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life.
Ismahane Cheheb, Noor Al-Maadeed, Ahmed Bouridane, Azeddine Beghdadi, Richard Jiang   +4 more
doaj   +1 more source

Parallel Weighted Random Sampling [PDF]

, 2019
Data structures for efficient sampling from a set of weighted items are an important building block of many applications. However, few parallel solutions are known. We close many of these gaps both for shared-memory and distributed-memory machines.
, Sanders, Peter
core   +1 more source

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
doaj   +1 more source

On Certified Randomness from Fourier Sampling or Random Circuit Sampling [PDF]

Quantum
Certified 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, Adam Bouland, Bill Fefferman, Sam Gunn, Avishay Tal   +4 more
doaj   +1 more source

Dynamics of the Emerging Genogroup of Infectious Bursal Disease Virus Infection in Broiler Farms in South Korea: A Nationwide Study

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, Dae-Sung Yoo, Il Jang, Yong-Kuk Kwon, Hye-Ryoung Kim   +4 more
doaj   +1 more source

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
core   +3 more sources

A comparison between fixed and random sampling of a low density spotted bass population in a large river

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, Scott J. Meiners, Leslie D. Frankland, Jeffrey R. Laursen, Robert E. Colombo   +4 more
doaj   +1 more source

Sampling methods

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
doaj   +1 more source

Random sampling vs. exact enumeration of attractors in random Boolean networks [PDF]

, 2009
We clarify the effect different sampling methods and weighting schemes have on the statistics of attractors in ensembles of random Boolean networks (RBNs).
Aldana M, Amer Shreim, Andrew Berdahl, Derrida B, Drossel B, Flyvbjerg H, Jörn Davidsen, Maya Paczuski, Shreim A, Vishal Sood   +9 more
core   +1 more source

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
doaj   +1 more source