{
"item_title" : "Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint",
"item_author" : [" Mark K. Hinders "],
"item_description" : "Background and history.- Intelligent structural health monitoring with ultrasonic lamb waves.- Automatic detection of flaws in recorded music.- Pocket depth determination with an ultrasonographic periodontal probe.- Spectral intermezzo: Spirit security systems.- Lamb wave tomographic rays in pipes.- Classification of RFID tags with wavelet fingerprinting.- Pattern classification for interpreting sensor data from a walking-speed robot.- Cranks and charlatans and deepfakes.",
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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
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Overview
Background and history.- Intelligent structural health monitoring with ultrasonic lamb waves.- Automatic detection of flaws in recorded music.- Pocket depth determination with an ultrasonographic periodontal probe.- Spectral intermezzo: Spirit security systems.- Lamb wave tomographic rays in pipes.- Classification of RFID tags with wavelet fingerprinting.- Pattern classification for interpreting sensor data from a walking-speed robot.- Cranks and charlatans and deepfakes.
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Details
- ISBN-13: 9783030493974
- ISBN-10: 3030493970
- Publisher: Springer
- Publish Date: July 2021
- Dimensions: 9.21 x 6.14 x 0.75 inches
- Shipping Weight: 1.12 pounds
- Page Count: 346
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