Surge Prevention is a methodological framework in artificial intelligence that systematically mitigates abrupt, uncontrolled increases in model complexity or computational load during training or inference by introducing adaptive regularization and dynamic resource allocation mechanisms.
29
Publications
713
Citations
85
Authors
43
Institutions
Publications per year
2017–2026
8
Parents
Publications
29
1–5 of 29
Authors
85
- MD
2
h-index
- AR
2
h-index
- MRMohammad Reza Jahed‐Motlagh
Iran University of Science and Technology, Iran
2 publications · 27 citations
2
h-index
- BBBenjamin Blunier
Université de technologie de belfort-montbéliard, France
2 publications · 71 citations
2
h-index
- ML
2
h-index
1–5 of 85
Institutions
43
Tsinghua University
Beijing, China
2 h-index
3 publications
73 citations
Tarbiat Modares University
Tehran, Iran
2 h-index
2 publications
27 citations
Islamic Azad University, Science and Research Branch
Tehran, Iran
2 h-index
4 publications
54 citations
University of Genoa
Genoa, Italy
2 h-index
8 publications
112 citations
Northwestern Polytechnical University
Xi'an, China
2 h-index
3 publications
89 citations
Université de technologie de belfort-montbéliard
Belfort, France
2 h-index
7 publications
231 citations
Petroleum University of Technology
Tehran, Iran
2 h-index
2 publications
27 citations
Iran University of Science and Technology
Tehran, Iran
2 h-index
2 publications
27 citations
1–8 of 43
Venues
- IEEE Transactions on Power Delivery
2 publications · 37 citations
2
h-index
- IEEE Transactions on Industry and General Applications
1 publications · 13 citations
1
h-index
- Canadian Journal of Public Health
CJPH · 1 publications · 38 citations
1
h-index
- Quarterly Report of RTRI
1 publications · 23 citations
1
h-index
- Journal of Computational Science
1 publications · 28 citations
1
h-index
1–5