Tuning
Tuning is a methodological contribution in the domain of Electronic Control Units and Powertrain Control Systems that involves the systematic adjustment of control parameters or algorithms to optimize performance, efficiency, or emissions characteristics within a predefined operational envelope.
10.1K
Publications
551.3K
Citations
35.1K
Authors
4.8K
Institutions
Publications per year
2017–2026
3K
10.1K
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler · arXiv (Cornell University) · 2012 · 5.5K citations · Full text
DETRs Beat YOLOs on Real-time Object Detection
Y. Zhao, Wenyu Lv, Shangliang Xu et al. · 2024 · 3.3K citations
Trust Region Policy Optimization
John Schulman, Sergey Levine, Philipp Moritz et al. · arXiv (Cornell University) · 2015 · 3.1K citations · Full text
1–5 of 10.1K
35.1K
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University of California, Santa Barbara, United States
19 publications · 1.4K citations
16
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1–5 of 35.1K
4.8K

Centre National de la Recherche Scientifique
Paris, France
57 h-index
741 publications
39.6K citations
National University of Singapore
Singapore, Singapore
48 h-index
354 publications
23.7K citations
Massachusetts Institute of Technology
Cambridge, United States
47 h-index
297 publications
27.6K citations

Chinese Academy of Sciences
Beijing, China
47 h-index
746 publications
35.4K citations
Stanford University
Stanford, United States
47 h-index
316 publications
34.5K citations
University of California, Berkeley
Berkeley, United States
43 h-index
293 publications
38.8K citations
Harvard University
Cambridge, United States
40 h-index
137 publications
31.8K citations
University of Cambridge
Cambridge, United Kingdom
40 h-index
215 publications
19.4K citations
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362 publications · 17.6K citations
68
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295 publications · 14.6K citations
63
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304 publications · 15.3K citations
59
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JACS · 78 publications · 9.8K citations
57
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IPTEL · 218 publications · 8.2K citations
49
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