Neuro-Olfactive Intelligence v0.4: Physical-Sensor Data Ingestion and Integrity Audit Using SmellNet-Base
Neuro-Olfactive Intelligence (NOI) v0.4 — Technical Report This release documents the Stage 0 physical-sensor data ingestion and integrity audit of the Neuro-Olfactive Intelligence (NOI) research program using SmellNet-Base. The audit covered 300 physical-sensor recordings, including 250 official training recordings and 50 official testing recordings, representing 50 ingredients across five odor families. The implemented integrity checks passed. No duplicate recording identifiers or byte-identical cross-split recordings were detected. Scope and limitations: This milestone establishes data-ingestion integrity only. It does not demonstrate odor-recognition accuracy, novel-odor rejection, robotic olfaction, neural interfacing, chemical safety, clinical validity, or deployment readiness. The original SmellNet recordings are not redistributed in this release. Research organization: GuardianX LLC Related research: NOI v0.3, DOI: 10.5281/zenodo.22180610.
Authors
- Rana Aldahlake (ORCID: https://orcid.org/0009-0001-8919-8177)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-30
- DOI
- https://doi.org/10.5281/zenodo.23819253
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00