Redundancy-based Detection
Redundancy-Based Detection is a fault detection method that identifies system failures by comparing multiple equivalent components, channels, or computations to detect discrepancies arising from anomalous behavior.
88
Publications
3.8K
Citations
239
Authors
119
Institutions
Publications per year
2017–2026
9
Variants
Redundancy Based Detection
Parents
88
Novelty and redundancy detection in adaptive filtering
Yi Zhang, Jamie Callan, Thomas P. Minka · 2002 · 433 citations
An Analysis of the Viola-Jones Face Detection Algorithm
Yiqing Wang · Image Processing On Line · 2014 · 354 citations · Full text
Fault Detection Capabilities of Alternating Logic
Reynolds, Metze · IEEE Transactions on Computers · 1978 · 149 citations
Soft-error detection through software fault-tolerance techniques
Maurizio Rebaudengo, M. Sonza Reorda, Marco Torchiano et al. · 2003 · 144 citations
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119
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
6 publications
692 citations

Glenn Research Center
Cleveland, United States
3 h-index
6 publications
326 citations
University of Southern California
Los Angeles, United States
3 h-index
7 publications
123 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
1.4K citations
Sandia National Laboratories California
Livermore, United States
3 h-index
3 publications
183 citations

Beihang University
Beijing, China
3 h-index
7 publications
132 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
15 publications
552 citations

Illinois Institute of Technology
Chicago, United States
2 h-index
2 publications
59 citations
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7 publications · 351 citations
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3 publications · 171 citations
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2 publications · 59 citations
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2 publications · 29 citations
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2 publications · 46 citations
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