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Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing
Research article (Sensors and Actuators B Chemical, 2024) · cited 60× · AI/ML
Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing
Summary
Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing is a scholarly article[1].
Key Facts
Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-task-deep-learning-model-for-quantitative-volatile-organic-compounds-analysis-by-feature-fusion-of-electronic-nose
MLA“Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-task-deep-learning-model-for-quantitative-volatile-organic-compounds-analysis-by-feature-fusion-of-electronic-nose.
BibTeX@misc{4ortxyz_multi-task-deep-learning-model-for-quantitative-volatile-organic-compounds-analysis-by-feature-fusion-of-electronic-nose_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing}}, year = {2026}, url = {https://4ort.xyz/entity/multi-task-deep-learning-model-for-quantitative-volatile-organic-compounds-analysis-by-feature-fusion-of-electronic-nose}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing — https://4ort.xyz/entity/multi-task-deep-learning-model-for-quantitative-volatile-organic-compounds-analysis-by-feature-fusion-of-electronic-nose (retrieved 2026-05-24)
