Runtime Model Adaptation
Runtime Model Adaptation is a model execution technique that dynamically modifies a computational model's structure or parameters during execution to maintain performance, accuracy, or compliance in response to evolving environmental conditions or input data distributions.
29
Publications
1K
Citations
108
Authors
56
Institutions
Publications per year
2017–2026
8
Parents
29
A Runtime Model Based Monitoring Approach for Cloud
Jin Shao, Hao Wei, Qianxiang Wang et al. · 2010 · 113 citations
Runtime model based approach to IoT application development
Xing Chen, Aipeng Li, Xuee Zeng et al. · Frontiers of Computer Science · 2015 · 108 citations
Jane Cleland‐Huang, Michael Vierhauser, Sean Bayley · 2018 · 61 citations · Full text
Realtime online adaptive gesture recognition
Andrew D. Wilson, Aaron Bobick · 2002 · 58 citations
1–5 of 29
108
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 108
56

Peking University
Beijing, China
2 h-index
5 publications
560 citations
Arizona State University
Tempe, United States
2 h-index
7 publications
126 citations
Intel (United States)
Santa Clara, United States
2 h-index
6 publications
114 citations

University of Rostock
Rostock, Germany
2 h-index
8 publications
100 citations
Mälardalen University
Västerås, Sweden
1 h-index
1 publications
37 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
58 citations
Notre Dame University – Louaize
Zouk Mosbeh, Lebanon
1 h-index
1 publications
55 citations

Fuzhou University
Fuzhou, China
1 h-index
4 publications
432 citations
1–8 of 56
TSE · 1 publications · 55 citations
1
h-index
1 publications · 36 citations
1
h-index
MICPRO · 1 publications · 37 citations
1
h-index
SoSyM · 1 publications · 14 citations
1
h-index
Repository · 1 publications · 20 citations
1
h-index
1–5