{
  "@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"
}