Noise-based Pattern Generation
Noise-Based Pattern Generation is a pattern generation method that utilizes stochastic noise as a foundational input to produce structured outputs, distinguished by its reliance on probabilistic variations to drive the formation of complex, non-repetitive patterns.
17
Publications
536
Citations
51
Authors
31
Institutions
Publications per year
2017–2026
2
Parents
17
51
3
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31
Swinburne University of Technology
Melbourne, Australia
3 h-index
6 publications
223 citations
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
89 citations

Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
1 publications
13 citations

Ghent University
Ghent, Belgium
1 h-index
2 publications
56 citations
Laboratoire Jean Kuntzmann
Grenoble, France
1 h-index
1 publications
25 citations
Shanghai Key Laboratory of Trustworthy Computing
Shanghai, China
1 h-index
1 publications
28 citations

Anhui University
Hefei, China
1 h-index
1 publications
28 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
1 h-index
1 publications
25 citations
1–8 of 31
PRE · 2 publications · 136 citations
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1 publications · 18 citations
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1 publications · 31 citations
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1 publications · 28 citations
1
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1 publications · 48 citations
1
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1–5