Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping.
- DOI
- 10.3390/molecules31111884
- Published
- 2026 Jun 1
- Container
- Molecules (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/molecules31111884,
title = {Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping.},
author = {Kim S and Shin M and Kang K and Lee DH and Churchill DG and Jang YJ},
year = {2026},
journal = {Molecules (Basel, Switzerland)},
doi = {10.3390/molecules31111884},
url = {https://doi.org/10.3390/molecules31111884}
}RIS
TY - JOUR TI - Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping. AU - Kim S AU - Shin M AU - Kang K AU - Lee DH AU - Churchill DG AU - Jang YJ PY - 2026 JO - Molecules (Basel, Switzerland) DO - 10.3390/molecules31111884 UR - https://doi.org/10.3390/molecules31111884 ER -
APA
S, K., M, S., K, K., DH, L., DG, C., & YJ, J. (2026). Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping.. Molecules (Basel, Switzerland). https://doi.org/10.3390/molecules31111884
Source records
- pubmed · retrieved 2026-09-25T01:43:42.324Z