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.

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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
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article

Neuro-Olfactive Intelligence v0.4: Physical-Sensor Data Ingestion and Integrity Audit Using SmellNet-Base

Rana Aldahlake
2 links
Zenodo (CERN European Organization for Nuclear Research)
Advanced Chemical Sensor Technologies
article

Neuro-Olfactive Intelligence v0.4: Physical-Sensor Data Ingestion and Integrity Audit Using SmellNet-Base

Rana Aldahlake
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Advanced Chemical Sensor Technologies
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