An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms

Research article (Physica Scripta, 2024) · cited 10× · AI/ML
Press Enter · cited answer in seconds

An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms

Summary

An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms is a scholarly article[1].

Key Facts

  • An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a
MLA “An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a.
BibTeX @misc{4ortxyz_an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms}}, year = {2026}, url = {https://4ort.xyz/entity/an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms — https://4ort.xyz/entity/an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-e-nose-system-for-identification-and-quantification-of-hazardous-gas-mixtures-using-a-combined-strategy-of-cnns-and-a · Last refreshed: