Sensor-based Search
Sensor-Based Search is a search methodology that systematically locates, identifies, or tracks targets by processing and interpreting data acquired from physical or virtual sensors, distinguishing it from other search approaches through its reliance on real-time or recorded sensory observations to guide and inform the search process.
27
Publications
797
Citations
70
Authors
49
Institutions
Publications per year
2017–2026
4
Parents
27
Fuzzy-based sensor search in the Web of Things
Cuong Truong, Kay Römer, Kai Chen · 2012 · 50 citations
1–5 of 27
70
3
h-index
U.S. Air Force Institute of Technology, United States
3 publications · 63 citations
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 70
49
George Mason University
Fairfax, United States
3 h-index
5 publications
116 citations
Sensors (United States)
Los Gatos, United States
2 h-index
5 publications
67 citations
US Night Vision (United States)
Roseville, United States
2 h-index
5 publications
67 citations
Duke University
Durham, United States
2 h-index
4 publications
71 citations

University of Coimbra
Coimbra, Portugal
2 h-index
3 publications
45 citations

University of Lübeck
Lübeck, Germany
2 h-index
6 publications
198 citations
United States Army
Arlington, United States
2 h-index
5 publications
67 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
58 citations
1–8 of 49
5 publications · 87 citations
5
h-index
Repository · 1 publications · 11 citations
1
h-index
Conference · 1 publications · 71 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 25 citations
1
h-index
1–5