Batch Uncertainty Analysis
Batch Uncertainty Analysis is a systematic methodological framework within batch process systems that quantifies and propagates uncertainties arising from input variability, model parameters, and measurement errors across discrete batch operations to assess the reliability and robustness of process outcomes.
10
Publications
622
Citations
28
Authors
13
Institutions
Publications per year
2017–2026
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10
1–5 of 10
28
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University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
116 citations

Lehigh University
Bethlehem, United States
2 h-index
6 publications
132 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
2 publications
34 citations

University of Notre Dame
Notre Dame, United States
1 h-index
1 publications
30 citations

University of Sannio
Benevento, Italy
1 h-index
2 publications
134 citations
National Academies of Sciences, Engineering, and Medicine
Washington, United States
1 h-index
3 publications
654 citations

China Mobile (China)
Beijing, China
1 h-index
1 publications
43 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
4 publications
128 citations
1–8 of 13
4 publications · 107 citations
4
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1 publications · 43 citations
1
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1 publications · 67 citations
1
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1 publications · 15 citations
1
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1 publications · 29 citations
1
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