Adaptive Data Processing
Adaptive Data Processing is a data processing paradigm within edge computing that dynamically modifies processing strategies in response to changing data characteristics, resource availability, and Quality of Service requirements to optimize performance, efficiency, and accuracy at the network edge.
170
Publications
6.8K
Citations
522
Authors
254
Institutions
Publications per year
2017–2026
42
Parents
170
Ryan W. Thomas, Luiz A. DaSilva, Allen B. MacKenzie · 2005 · 371 citations
Ryan W. Thomas, Luiz A. DaSilva, Allen B. MacKenzie · 2005 · 261 citations
1–5 of 170
522
4
h-index
United States Air Force Research Laboratory, United States
3 publications · 124 citations
3
h-index
3
h-index
University of Electronic Science and Technology of China, China
3 publications · 132 citations
3
h-index
3
h-index
1–5 of 522
254
Syracuse University
Syracuse, United States
6 h-index
10 publications
361 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
6 h-index
14 publications
491 citations
MIT Lincoln Laboratory
Lexington, United States
4 h-index
5 publications
242 citations
Tsinghua University
Beijing, China
4 h-index
10 publications
196 citations

National University of Defense Technology
Changsha, China
4 h-index
13 publications
656 citations

University of Wollongong
Wollongong, Australia
4 h-index
5 publications
459 citations

Harvard University Press
Cambridge, United States
4 h-index
7 publications
296 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
11 publications
535 citations
1–8 of 254
10 publications · 872 citations
10
h-index
7 publications · 447 citations
7
h-index
GRSL · 6 publications · 266 citations
6
h-index
Repository · 5 publications · 155 citations
5
h-index
4 publications · 100 citations
4
h-index
1–5