A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene

Research article (Sensors and Actuators A Physical, 2024) · cited 10× · AI/ML
Press Enter · cited answer in seconds

A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene

Summary

A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene is a scholarly article[1].

Key Facts

  • A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene'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). A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify
MLA “A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify.
BibTeX @misc{4ortxyz_a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene}}, year = {2026}, url = {https://4ort.xyz/entity/a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene — https://4ort.xyz/entity/a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-self-developed-electronic-nose-system-combines-data-enhancement-and-multi-branch-kernels-channel-attention-to-identify · Last refreshed: