Multiresolution Feature Extraction
Multiresolution Feature Extraction is a time series feature extraction method that decomposes a signal into multiple temporal or frequency resolutions using hierarchical representations—such as wavelet transforms or filter banks—to capture both coarse-grained trends and fine-grained local patterns distinctive from single-resolution approaches.
120
Publications
5K
Citations
367
Authors
187
Institutions
Publications per year
2017–2026
31
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YOLO-Drone: An Optimized YOLOv8 Network for Tiny UAV Object Detection
Xianxu Zhai, Huang Zhi-hua, Tao Li et al. · Electronics · 2023 · 174 citations · Full text
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187

University of Waterloo
Waterloo, Canada
4 h-index
15 publications
1K citations

Royal Military College of Canada
Kingston, Canada
4 h-index
11 publications
751 citations

Concordia University
Montreal, Canada
3 h-index
8 publications
320 citations
Stanford University
Stanford, United States
2 h-index
3 publications
97 citations
Kaohsiung Veterans General Hospital
Kaohsiung, Taiwan
2 h-index
3 publications
130 citations
Shandong University
Jinan, China
2 h-index
4 publications
138 citations

Harbin Institute of Technology
Harbin, China
2 h-index
6 publications
290 citations
National Tsing Hua University
Hsinchu, Taiwan
2 h-index
5 publications
247 citations
1–8 of 187
6 publications · 205 citations
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6 publications · 234 citations
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3 publications · 242 citations
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3 publications · 235 citations
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2 publications · 143 citations
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