Titlebook: Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint; Mark K. Hinders Book 2020 The Editor(s) (if appl

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Automatic Detection of Flaws in Recorded Music,lly, it focuses on time-localized errors in digitized wax cylinder recordings and contemporary digital media. By taking the continuous wavelet transform of various recordings, we created a two-dimensional binary display of audio data. After analyzing the images, we implemented an algorithm to automa

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Pocket Depth Determination with an Ultrasonographic Periodontal Probe,nvasive, and inaccurate. As an alternative to manual probing, the ultrasonographic periodontal probe is being developed to use ultrasound echo waveforms to measure periodontal pocket depth, which is the main measure of periodontal disease. Wavelet transforms and pattern classification techniques are

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Spectral Intermezzo: Spirit Security Systems,en the sensors that can acquire enormous amounts of real-time data become so very inexpensive, e.g. infrared imagers attached to smartphones. As a light-hearted example of how this could go, we describe using infrared cameras in a security system for ghost detection. It is important to be skeptical

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Classification of Lamb Wave Tomographic Rays in Pipes to Distinguish Through Holes from Gouges,for modes traveling through flaws. One implementation of Lamb waves for structural health monitoring is helical ultrasound tomography (HUT) in which an array of transducers scan over the perimeter of the sample resulting in a reconstructed image that accurately depicts the presence of flaws in plate

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Cranks and Charlatans and Deepfakes,a. There have always been hoaxsters and pranksters and hucksters, but who and what online sources to trust and believe is becoming an urgent problem for us regular people. Snake oil salesmen provide insight into what to watch for when skeptically evaluating the claims of machine learning software sa

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Pattern Classification for Interpreting Sensor Data from a Walking-Speed Robot,e vector is created for each measurement using an intelligent feature selection process for use in statistical pattern classification routines. Using experimentally measured data from real vehicles at 50 m, this process is able to correctly classify vehicles into one of five classes with 94% accurac