{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "TOF Sensor Activity Prediction Model",
    "description": "A Poisson-loss gradient boosting model trained on time-of-flight sensor data to predict activity counts in 10-minute windows.",
    "version": "1.0",
    "author": {
        "@type": "Person",
        "givenName": "Raphael-Hafis",
        "familyName": "Kretschmer",
        "affiliation": {
            "@type": "Organization",
            "name": "TU Wien"
        }
    },
    "dateCreated": "2025-04-23",
    "programmingLanguage": "Python",
    "runtimePlatform": "Python 3.12",
    "operatingSystem": "Any",
    "softwareRequirements": [
        "scikit-learn >=1.4",
        "pandas >=2.0",
        "matplotlib >=3.7"
    ],
    "applicationCategory": "Machine Learning",
    "keywords": [
        "TOF sensor",
        "time-series",
        "activity prediction",
        "gradient boosting",
        "FAIR4ML"
    ],
    "license": "https://creativecommons.org/licenses/by/4.0/",
    "codeRepository": "https://github.com/SirMrGore/Data-Stewardship-UE-FAIR-Data-Science",
    "output": [
        "output_model.pkl",
        "test_predictions_plot.png"
    ],
    "dataCatalog": {
        "@type": "DataCatalog",
        "name": "TU Wien dbrepo",
        "url": "https://test.dbrepo.tuwien.ac.at"
    },
    "identifier": "2db2301f-c701-4d9e-a1d1-3d2d64fa9dd9"
}