VARF: Synthetic Audiogram Generator, Experiment Code and Systematic Review Materials
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Supporting materials for the manuscript "VARF: A Five-Layer AI Architecture forVirtual Aural Rehabilitation: Design and Algorithmic Feasibility", submitted toEngineering, Technology & Applied Science Research. Contents. A deterministic synthetic audiogram generator (seed 20260301) and thecomplete code for four experiments: a hybrid rule-plus-gradient-boosted triageclassifier, adversarial robustness checks, differentially private federatedaveraging with Renyi differential-privacy accounting, and a LinUCB adaptivedifficulty controller benchmarked against a clinical staircase procedure. Alsoincluded: the generated dataset of 5,000 cases, a reward-weight sensitivityanalysis, a privacy-accountant configuration scan, the systematic reviewmaterials (database-specific search strings for PubMed, Scopus, CINAHL and IEEEXplore with all deviations recorded, and the PRISMA 2020 flow), and the sixfigures as published. Provenance.



