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Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN
Research article (Sensors and Actuators A Physical, 2022) · cited 14× · AI/ML
Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN
Summary
Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN is a scholarly article[1].
Key Facts
Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-binary-gases-mixtures-from-time-series-resistance-fluctuations-a-sensitivity-controllable-sno2-gas-sen
MLA“Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-binary-gases-mixtures-from-time-series-resistance-fluctuations-a-sensitivity-controllable-sno2-gas-sen.
BibTeX@misc{4ortxyz_identification-of-binary-gases-mixtures-from-time-series-resistance-fluctuations-a-sensitivity-controllable-sno2-gas-sen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-binary-gases-mixtures-from-time-series-resistance-fluctuations-a-sensitivity-controllable-sno2-gas-sen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN — https://4ort.xyz/entity/identification-of-binary-gases-mixtures-from-time-series-resistance-fluctuations-a-sensitivity-controllable-sno2-gas-sen (retrieved 2026-05-24)
