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Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals
Research article (Applied Computing and Informatics, 2024) · cited 10× · AI/ML
Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals
Summary
Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals is a scholarly article[1].
Key Facts
Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals'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). Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/wine-quality-assessment-through-lightweight-deep-learning-integrating-1d-cnn-and-lstm-for-analyzing-electronic-nose-vocs
MLA“Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wine-quality-assessment-through-lightweight-deep-learning-integrating-1d-cnn-and-lstm-for-analyzing-electronic-nose-vocs.
BibTeX@misc{4ortxyz_wine-quality-assessment-through-lightweight-deep-learning-integrating-1d-cnn-and-lstm-for-analyzing-electronic-nose-vocs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals}}, year = {2026}, url = {https://4ort.xyz/entity/wine-quality-assessment-through-lightweight-deep-learning-integrating-1d-cnn-and-lstm-for-analyzing-electronic-nose-vocs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals — https://4ort.xyz/entity/wine-quality-assessment-through-lightweight-deep-learning-integrating-1d-cnn-and-lstm-for-analyzing-electronic-nose-vocs (retrieved 2026-05-24)
