Peak Detection Features
Peak Detection Features is a time series feature extraction method that identifies and quantifies local maxima in a signal to characterize its salient temporal patterns.
65
Publications
2.6K
Citations
221
Authors
105
Institutions
Publications per year
2017–2026
27
65
Deep learning based on Batch Normalization for P300 signal detection
Mingfei Liu, Wei Wu, Zhenghui Gu et al. · Neurocomputing · 2017 · 229 citations
Parking Slot Markings Recognition for Automatic Parking Assist System
Ho Gi Jung, Dong Suk Kim, Pal Joo Yoon et al. · 2006 · 117 citations
Multi-Attribute Method for Quality Control of Therapeutic Proteins
Sarah Rogstad, Haoheng Yan, Xiaoshi Wang et al. · Analytical Chemistry · 2019 · 115 citations
1–5 of 65
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Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia
2 publications · 57 citations
2
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1–5 of 221
105
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
5 publications
125 citations
Yonsei University
Seoul, South Korea
2 h-index
4 publications
762 citations
National Institute of Technology Kurukshetra
Kurukshetra, India
2 h-index
2 publications
58 citations
West Virginia University
Morgantown, United States
2 h-index
7 publications
234 citations
Universiti Malaysia Pahang Al-Sultan Abdullah
Pekan, Malaysia
2 h-index
4 publications
79 citations
Center for Drug Evaluation and Research
Silver Spring, United States
2 h-index
7 publications
315 citations
United States Food and Drug Administration
Silver Spring, United States
2 h-index
12 publications
890 citations
Jilin University
Changchun, China
2 h-index
7 publications
204 citations
1–8 of 105
3 publications · 87 citations
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2 publications · 149 citations
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2 publications · 85 citations
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2 publications · 238 citations
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2 publications · 69 citations
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