Sensor Drift Detection
Sensor Drift Detection is a diagnostic method in sensor data quality assessment that identifies gradual, unintended deviations in sensor output over time from true values, distinguishing itself by focusing on temporal inconsistency patterns indicative of sensor degradation or calibration loss rather than transient faults or noise.
55
Publications
2.4K
Citations
177
Authors
76
Institutions
Publications per year
2017–2026
23
55
1–5 of 55
177
American University of Ras Al Khaimah, United Arab Emirates
5 publications · 141 citations
5
h-index
5
h-index
5
h-index
4
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4
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1–5 of 177
76

The University of Melbourne
Melbourne, Australia
6 h-index
16 publications
441 citations
University of Technology Sydney
Sydney, Australia
5 h-index
7 publications
196 citations
Tsinghua University
Beijing, China
4 h-index
19 publications
832 citations

Universidade Federal de Pernambuco
Recife, Brazil
3 h-index
8 publications
1.5K citations

Data61
Sydney, Australia
3 h-index
6 publications
172 citations
Texas A&M University
College Station, United States
2 h-index
3 publications
58 citations
Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco
Recife, Brazil
2 h-index
2 publications
406 citations

Western University
London, Canada
2 h-index
4 publications
56 citations
1–8 of 76
5 publications · 212 citations
5
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4 publications · 163 citations
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3 publications · 424 citations
3
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2 publications · 75 citations
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2 publications · 26 citations
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1–5