Data Conditioning
Data Conditioning is a methodological process in geophysical data processing and geological block modeling that transforms raw observational data into a consistent, accurate, and interpretable format by removing noise, correcting artifacts, and standardizing measurements to enhance reliability for subsequent analysis and model construction.
87
Publications
10K
Citations
288
Authors
155
Institutions
Publications per year
2017–2026
31
87
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Anyi Rao, Maneesh Agrawala · 2023 · 3.6K citations
Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies
Cristina Orsolin Klingenberg, Marco Antônio Viana Borges, José Antônio Valle Antunes · Journal of Manufacturing Technology Management · 2019 · 218 citations
Computing, Information Technology, Technology Management +13
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155
Stanford University
Stanford, United States
7 h-index
14 publications
11.8K citations

Ames Research Center
Mountain View, United States
4 h-index
18 publications
11.3K citations

UNSW Sydney
Sydney, Australia
4 h-index
12 publications
629 citations

Search for Extraterrestrial Intelligence
Mountain View, United States
3 h-index
7 publications
6.3K citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
88 citations
University of Lausanne
Lausanne, Switzerland
3 h-index
3 publications
97 citations

Pennsylvania State University
State College, United States
3 h-index
4 publications
176 citations
Institut de Recherche pour le Développement
Marseille, France
2 h-index
2 publications
31 citations
1–8 of 155
10 publications · 677 citations
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Repository · 3 publications · 240 citations
3
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3 publications · 264 citations
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3 publications · 84 citations
3
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3 publications · 276 citations
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