Sensor Weighting
Sensor Weighting is a methodological framework within multisensor data integration that assigns differential credibility or influence to individual sensors based on their reliability, accuracy, and contextual relevance in order to optimize the fusion process.
38
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2.9K
Citations
108
Authors
56
Institutions
Publications per year
2017–2026
12
Parents
38
Random Weighting Method for Multisensor Data Fusion
Shesheng Gao, Yongmin Zhong, Wei Li · IEEE Sensors Journal · 2011 · 110 citations
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Northwestern Polytechnical University
Xi'an, China
4 h-index
12 publications
440 citations
Curtin University
Perth, Australia
2 h-index
2 publications
160 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
82 citations
National Ilan University
Yilan, Taiwan
1 h-index
1 publications
19 citations
Motorola (United States)
Schaumburg, United States
1 h-index
1 publications
50 citations

University of Bojnord
Bojnourd, Iran
1 h-index
1 publications
27 citations
Npistanbul Brain Hospital
Ümraniye, Turkey
1 h-index
2 publications
58 citations

Istanbul Technical University
Istanbul, Türkiye
1 h-index
2 publications
58 citations
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5 publications · 96 citations
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1 publications · 12 citations
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1 publications · 1.9K citations
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1 publications · 13 citations
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1 publications · 41 citations
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