Signal Processing for Sensor Data is a computational methodology that transforms raw sensor measurements into meaningful information by filtering, analyzing, and interpreting signals specific to mining environments to enhance decision-making in sensor network applications.
41
Publications
2.2K
Citations
143
Authors
54
Institutions
Publications per year
2017–2026
8
Parents
Publications
41
Send-On-Delta Concept: An Event-Based Data Reporting Strategy
Marek Miśkowicz · Sensors · 2006 · 475 citations · Full text
Andy McFarlane · Sensor Review · 1997 · 154 citations
Cloud Computing for Enhanced Mobile Health Applications
Mzomuhle Nkosi, F Mekuria · 2010 · 146 citations
1–5 of 41
Authors
143
- GM
2
h-index
- FR
2
h-index
- VH
2
h-index
- PP
1
h-index
- SM
1
h-index
1–5 of 143
Institutions
54
University of California, Berkeley
Berkeley, United States
3 h-index
7 publications
998 citations
University of Trieste
Trieste, Italy
2 h-index
2 publications
82 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
4 publications
264 citations
National Technological University
Buenos Aires, Argentina
2 h-index
5 publications
102 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
5 publications
94 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
24 citations
Commonwealth Computer Research (United States)
Charlottesville, United States
1 h-index
1 publications
23 citations
University of Salerno
Fisciano, Italy
1 h-index
3 publications
78 citations
1–8 of 54
Venues
- Sensors
3 publications · 527 citations
3
h-index
- IEEE Transactions on Instrumentation and Measurement
2 publications · 93 citations
2
h-index
- Sensors and Actuators B Chemical
2 publications · 86 citations
2
h-index
- IEEE Sensors Journal
1 publications · 23 citations
1
h-index
- IEEE Transactions on Geoscience and Remote Sensing
1 publications · 78 citations
1
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1–5