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  2. Computer Online Forensic Evidence Extractor - Wikipedia

    en.wikipedia.org/wiki/Computer_Online_Forensic...

    Computer Online Forensic Evidence Extractor (COFEE) is a tool kit, developed by Microsoft, to help computer forensic investigators extract evidence from a Windows computer. Installed on a USB flash drive or other external disk drive, it acts as an automated forensic tool during a live analysis. Microsoft provides COFEE devices and online ...

  3. Mel scale - Wikipedia

    en.wikipedia.org/wiki/Mel_scale

    The first version of Google's Lyra codec uses log mel spectrograms as the feature-extraction step. The transmitted data is a vector-quantized form of the spectrogram, which is then synthesized back to speech by a neural network.

  4. Forensic Toolkit - Wikipedia

    en.wikipedia.org/wiki/Forensic_Toolkit

    This tool saves an image of a hard disk in one file or in segments that may be later on reconstructed. It calculates MD5 and SHA1 hash values and can verify the integrity of the data imaged is consistent with the created forensic image. The forensic image can be saved in several formats, including DD/raw, E01, and AD1. [4]

  5. Mel-frequency cepstrum - Wikipedia

    en.wikipedia.org/wiki/Mel-frequency_cepstrum

    MFCCs are commonly used as features in speech recognition [7] systems, such as the systems which can automatically recognize numbers spoken into a telephone.. MFCCs are also increasingly finding uses in music information retrieval applications such as genre classification, audio similarity measures, etc. [8]

  6. FME (software) - Wikipedia

    en.wikipedia.org/wiki/FME_(software)

    FME, also known as Feature Manipulation Engine, is a geospatial extract, transformation and load software platform developed and maintained by Safe Software of British Columbia, Canada. [4] FME was first released in 1996, and evolved out of a successful bid by the founders of Safe Software, Don Murray and Dale Lutz, for a Canadian Government ...

  7. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    getML community is an open source tool for automated feature engineering on time series and relational data. [23] [24] It is implemented in C/C++ with a Python interface. [24] It has been shown to be at least 60 times faster than tsflex, tsfresh, tsfel, featuretools or kats. [24] tsfresh is a Python library for feature extraction on time series ...

  8. Features from accelerated segment test - Wikipedia

    en.wikipedia.org/wiki/Features_from_accelerated...

    Features from accelerated segment test (FAST) is a corner detection method, which could be used to extract feature points and later used to track and map objects in many computer vision tasks. The FAST corner detector was originally developed by Edward Rosten and Tom Drummond, and was published in 2006. [ 1 ]

  9. List of mass spectrometry software - Wikipedia

    en.wikipedia.org/wiki/List_of_mass_spectrometry...

    TopFD (Top-down mass spectral Feature Detection) is a software tool for top-down spectral deconvolution and a successor to MS-Deconv. It groups top-down spectral peaks into isotopomer envelopes and converts them to monoisotopic neutral masses. In addition, it extracts proteoform features from LC-MS or CE-MS data. Trans-Proteomic Pipeline (TPP)