Multi-Modal Identification is a systematic method in animal identification that integrates data from multiple distinct sensory or information modalities—such as visual, acoustic, genetic, or biometric signals—to enhance the accuracy, robustness, and reliability of individual or species recognition beyond what single-modal approaches can achieve.
134
Publications
5.7K
Citations
523
Authors
226
Institutions
Publications per year
2017–2026
65
Parents
Publications
134
1–5 of 134
Authors
523
- RS
3
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- GH
2
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1–5 of 523
Institutions
226
Langley Research Center
Hampton, United States
3 h-index
3 publications
119 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
166 citations
Shenzhen University
Shenzhen, China
2 h-index
2 publications
56 citations
University of Mysore
Mysuru, India
2 h-index
3 publications
51 citations
Universidade do Porto
Porto, Portugal
2 h-index
5 publications
161 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
6 publications
100 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
8 publications
296 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
240 citations
1–8 of 226
Venues
- Engineering Structures
8 publications · 392 citations
8
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- Pattern Recognition
3 publications · 115 citations
3
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- Multimedia Tools and Applications
3 publications · 58 citations
3
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- Journal of Building Engineering
2 publications · 46 citations
2
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- Structural Health Monitoring
SHM · 2 publications · 159 citations
2
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