Sensor Network Forecasting
Sensor Network Forecasting is a computational framework that enables real-time prediction of environmental or physical phenomena by dynamically integrating and analyzing streaming data from spatially distributed sensor nodes within a network.
51
Publications
1.6K
Citations
197
Authors
96
Institutions
Publications per year
2017–2026
22
Parents
51
1–5 of 51
197
Korea Advanced Institute of Science and Technology, South Korea
2 publications · 43 citations
2
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2
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1
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1
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1
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1–5 of 197
96
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
63 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
4 publications
148 citations
American Institute of Aeronautics and Astronautics
Reston, United States
2 h-index
3 publications
63 citations
Tsinghua University
Beijing, China
2 h-index
9 publications
169 citations
National Satellite Ocean Application Service
Qingdao, China
1 h-index
1 publications
19 citations

Universidade Federal de Alagoas
Maceió, Brazil
1 h-index
1 publications
25 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
10 citations
University of Technology Malaysia
Johor Bahru, Malaysia
1 h-index
5 publications
145 citations
1–8 of 96
3 publications · 87 citations
3
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2 publications · 27 citations
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2 publications · 24 citations
2
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2 publications · 43 citations
2
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1 publications · 57 citations
1
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