Embedded Sensing
Embedded Sensing is a method in which sensor functionality is integratively implemented within IoT-enabled actuator systems through computational models or soft sensor techniques, enabling context-aware data acquisition and real-time monitoring without relying on dedicated physical sensors.
160
Publications
9K
Citations
601
Authors
210
Institutions
Publications per year
2017–2026
64
160
Mani Srivastava, Richard R. Muntz, Miodrag Potkonjak · 2001 · 272 citations
Engineering, Early Childhood Education, Information Technology +17
1–5 of 160
601
University of California, Los Angeles, United States
9 publications · 832 citations
9
h-index
7
h-index
7
h-index
NSF National Center for Atmospheric Research, United States
6 publications · 285 citations
6
h-index
6
h-index
1–5 of 601
210
University of California, Los Angeles
Los Angeles, United States
14 h-index
66 publications
4K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
16 publications
1.2K citations
Politecnico di Milano
Milan, Italy
4 h-index
11 publications
708 citations
ETH Zurich
Zurich, Switzerland
4 h-index
7 publications
272 citations
University of Southern California
Los Angeles, United States
4 h-index
15 publications
576 citations

Johns Hopkins University
Baltimore, United States
4 h-index
6 publications
267 citations

University of North Carolina at Charlotte
Charlotte, United States
4 h-index
11 publications
421 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
3 publications
267 citations
1–8 of 210
8 publications · 236 citations
8
h-index
Repository · 5 publications · 149 citations
5
h-index
5 publications · 182 citations
5
h-index
4 publications · 99 citations
4
h-index
2 publications · 26 citations
2
h-index
1–5