Resource Constraints Analysis
Resource Constraints Analysis is a methodological framework within preservation prioritization that systematically identifies and evaluates limiting factors—such as budget, time, expertise, and material availability—to determine the feasible allocation of resources among competing preservation initiatives.
159
Publications
9.1K
Citations
537
Authors
249
Institutions
Publications per year
2017–2026
49
Parents
159
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V. Le et al. · arXiv (Cornell University) · 2021 · 739 citations · Full text
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Ariel Gordon, Elad Eban, Ofir Nachum et al. · 2018 · 336 citations
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249
Georgia Institute of Technology
Atlanta, United States
8 h-index
12 publications
841 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
1.2K citations
Arizona State University
Tempe, United States
3 h-index
4 publications
322 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
10 publications
450 citations
Google (United States)
Mountain View, United States
3 h-index
12 publications
4.5K citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
9 publications
721 citations
University of Southern California
Los Angeles, United States
3 h-index
6 publications
1.4K citations
Université de Technologie de Troyes
Troyes, France
2 h-index
6 publications
411 citations
1–8 of 249
Repository · 5 publications · 961 citations
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3 publications · 87 citations
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3 publications · 113 citations
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3 publications · 132 citations
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2 publications · 114 citations
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