Works matching DE "CLUMPS (Information retrieval)"
Results: 15
Clumps and streams in the local dark matter distribution.
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- Nature, 2008, v. 454, n. 7205, p. 735, doi. 10.1038/nature07153
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New measures of clumpiness for incidence data.
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- Journal of Applied Statistics, 2013, v. 40, n. 11, p. 2533, doi. 10.1080/02664763.2013.818627
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THE EFFECT OF REGULAR AND RANDOM DISTRIBUTIONS ON THE ANALYSIS OF PATTERN.
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- Journal of Ecology, 1973, v. 61, n. 1, p. 99, doi. 10.2307/2258920
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DISTRIBUTION OF CLUMP STATISTICS FOR A COLLECTION OF WORDS.
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- Journal of Applied Probability, 2011, v. 48, n. 4, p. 1049, doi. 10.1239/jap/1324046018
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Discrete element modelling of scaled railway ballast under triaxial conditions.
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- Granular Matter, 2016, v. 18, n. 3, p. 1, doi. 10.1007/s10035-016-0663-8
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A composite particle model for non-spherical particles in DEM simulations.
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- Granular Matter, 2015, v. 17, n. 6, p. 763, doi. 10.1007/s10035-015-0596-7
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Black Hole in a Radiation-Dominated Universe.
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- Astronomy Letters, 2018, v. 44, n. 8/9, p. 491, doi. 10.1134/S1063773718090013
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Fractal properties of stellar systems and random forces.
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- Astronomy Letters, 2016, v. 42, n. 5, p. 307, doi. 10.1134/S1063773716050029
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How clumpy is my image?
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2015, v. 19, n. 6, p. 1541, doi. 10.1007/s00500-014-1303-z
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Astrophysical manifestations of clumps of cold dark matter.
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- Physics of Atomic Nuclei, 2013, v. 76, n. 4, p. 469, doi. 10.1134/S1063778813040029
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Predator inadvertent social information use favours reduced clumping of its prey.
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- Oikos, 2010, v. 119, n. 2, p. 286, doi. 10.1111/j.1600-0706.2009.17400.x
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A new method to estimate clumping index integrating gap fraction averaging with the analysis of gap size distribution.
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- Canadian Journal of Forest Research, 2019, v. 49, n. 5, p. 471, doi. 10.1139/cjfr-2018-0213
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XXVIII. The Planck Catalogue of Galactic cold clumps.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2016, v. 594, p. 1, doi. 10.1051/0004-6361/201525819
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On the shape of the mass-function of dense clumps in the Hi-GAL fields II. Using Bayesian inference to study the clump mass function.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2014, v. 564, p. 1, doi. 10.1051/0004-6361/201323035
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Detection of multi-scale clusters in network space.
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- International Journal of Geographical Information Science, 2009, v. 23, n. 1, p. 75, doi. 10.1080/13658810801949843
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