Showing 5 open source projects for "data generator csv"

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  • 1
    JQM Java Quine McCluskey

    JQM Java Quine McCluskey

    JQM - Java Quine McCluskey for minimization of Boolean functions.

    Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for...
    Downloads: 1 This Week
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  • 2
    karatasi - flip cards on iPhone
    Flip card learning program for iPhone with a spaced learning algorithm. Create your own databases and edit the cards directly on the iPhone. Import Palm databases or csv-formatted files and backup your data with our Java application.
    Downloads: 0 This Week
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  • 3
    Fresh Memory

    Fresh Memory

    Flashcards application with Spaced Repetition method

    Fresh Memory is an application that helps to learn large amounts of any material with Spaced Repetition method. The most important subject is learning foreign words, but Fresh Memory can be also used to learn anything else. The learning data is stored as flash cards and dictionaries. The flash cards may have several fields, and the user controls what combination of fields to learn. The flashcards can have formatted text and images.
    Downloads: 3 This Week
    Last Update:
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  • 4
    funkGen is a software function generator intended as an educational tool. It has a number of basic generators and transforms, but can also combine those into more complex waveforms, Ouput sound files, graphics, or just raw data.
    Downloads: 0 This Week
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  • 5
    Avenzoar Digital Pathology Tool
    Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
    Downloads: 0 This Week
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