Showing 5 open source projects for "user"

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  • 1
    Habfuzz

    Habfuzz

    A command-line tool for data-driven fuzzy modelling

    Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. It comes with no graphical user interface but it's a one-click tool. Just provide your input and let HABFUZZ provide you the output. The HABFUZZ manual https://github.com/chtheodoro/habfuzz/blob/master/HABFUZZ_v2.5_manual.pdf HABFUZZ in the Journal of Open Source Software http://joss.theoj.org/papers/1ad27db8f0976c28a75e20d34eba5ee2 HABFUZZ website https://chtheodoro.wixsite.com/habfuzz
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  • 2

    WHATCH'EM

    WHATCH’EM simulates mosquito container water temperature

    WHATCH’EM simulates the highly non-linear manner in which atmospheric conditions and container characteristics determine water temperature and height, leading to results that are not always intuitive and likely not simulated by simpler empirical models. WHATCH’EM has the capacity to be utilized for other mosquitoes and other container-inhabiting arthropods.
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  • 3
    HydroSed2D is a two-dimensional numerical model for hydrodynamics and sediment transport on unstructured mesh.
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  • 4
    This project looks at the development of a set of generic models (box,chamber, photo-chemical trajectory) to use with the MCM (www.mcm.leeds.ac.uk). The software provides a tailored FORTRAN interface to the CVODE solver (http://www.llnl.gov/CASC/sundials
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  • 5

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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