Dangle
发表于 2025-3-21 16:34:35
书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469667<br><br> <br><br>书目名称Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469667<br><br> <br><br>
Essential
发表于 2025-3-21 22:36:57
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muffler
发表于 2025-3-22 04:00:05
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Phonophobia
发表于 2025-3-22 06:40:18
978-3-030-49397-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Ebct207
发表于 2025-3-22 11:54:36
Classification of RFID Tags with Wavelet Fingerprinting,lected for a variety of reader frequencies, tag orientations, and ambient conditions, and pattern classification techniques are applied to automatically identify these unique RF signatures. We show that identically programmed RFID tags can be distinguished using features generated from DWFP representations of the raw RF signals.
acheon
发表于 2025-3-22 16:41:18
uding in the medical, vehicle and wireless technology.Struct.This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical
异教徒
发表于 2025-3-22 21:03:08
Book 2020r machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. .Intellige
subordinate
发表于 2025-3-22 22:24:28
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ANTE
发表于 2025-3-23 03:48:40
Automatic Detection of Flaws in Recorded Music,ly detect time-localized clicks, pops, and crackles in both cylinders and digital recordings. We also found that while other extra-musical noises, such as coughing, did not leave a traceable mark on the fingerprint, they were distinguishable from samples without the error.
使成波状
发表于 2025-3-23 06:55:41
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