Resource-Constrained Analytics is a class of analytical methods designed to enable efficient data processing and insight generation on Internet of Things (IoT) devices with limited computational power, memory, bandwidth, or energy by optimizing algorithmic complexity, model size, and resource utilization.
18
Publications
1.5K
Citations
78
Authors
44
Institutions
Publications per year
2017–2026
15
Parents
Publications
18
Predicting poverty and wealth from mobile phone metadata
Joshua Blumenstock, Gabriel Cadamuro, Robert On · Science · 2015 · 706 citations · Full text
Raghubir Singh, Sukhpal Singh Gill · Internet of Things and Cyber-Physical Systems · 2023 · 454 citations · Full text
Approximate query service on autonomous IoT cameras
2020 · 35 citations · Full text
1–5 of 18
Authors
78
- WI
1
h-index
- DC
1
h-index
- VS
1
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- YW
1
h-index
- AG
1
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1–5 of 78
Institutions
44
University of Notre Dame
Notre Dame, United States
2 h-index
4 publications
53 citations
University of the Punjab
Lahore, Pakistan
1 h-index
2 publications
58 citations
Monash University
Melbourne, Australia
1 h-index
1 publications
26 citations
University of Maribor
Maribor, Slovenia
1 h-index
1 publications
13 citations
California State University, Dominguez Hills
Carson, United States
1 h-index
2 publications
26 citations
Queen Mary University of London
London, United Kingdom
1 h-index
1 publications
454 citations
St. Joseph Regional Medical Center
Milwaukee, United States
1 h-index
1 publications
13 citations
University of Washington
Seattle, United States
1 h-index
2 publications
1.4K citations
1–8 of 44
Venues
- IEEE Internet of Things Journal
1 publications · 29 citations
1
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- Internet of Things and Cyber-Physical Systems
1 publications · 454 citations
1
h-index
- Scientific Reports
1 publications · 13 citations
1
h-index
- Sensors
1 publications · 16 citations
1
h-index
- IEEE Systems Journal
ISJ · 1 publications · 26 citations
1
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1–5