Distributed Detection Fusion
Distributed Detection Fusion is a decision-level fusion framework in which multiple spatially separated sensors independently perform local detection and transmit compressed binary decisions to a central fusion center that combines them to produce a global hypothesis about a common phenomenon.
33
Publications
1.7K
Citations
71
Authors
44
Institutions
Publications per year
2017–2026
3
Parents
33
1–5 of 33
71
4
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IBM Research - Thomas J. Watson Research Center, United States
2 publications · 70 citations
2
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2
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2
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2
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1–5 of 71
44
University of Connecticut
Storrs, United States
4 h-index
9 publications
1.6K citations
Syracuse University
Syracuse, United States
3 h-index
8 publications
339 citations
Northwestern University
Evanston, United States
2 h-index
3 publications
112 citations

University of Rochester
Rochester, United States
2 h-index
4 publications
140 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
84 citations
Gwangju Institute of Science and Technology
Gwangju, South Korea
2 h-index
4 publications
88 citations

Peter the Great St. Petersburg Polytechnic University
Saint Petersburg, Russia
2 h-index
2 publications
44 citations
Samsung (South Korea)
Seoul, South Korea
1 h-index
1 publications
21 citations
1–8 of 44
6 publications · 308 citations
6
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4 publications · 632 citations
4
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4 publications · 205 citations
4
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2 publications · 57 citations
2
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1 publications · 30 citations
1
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1–5