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Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits
Research article (Measurement, 2019) · cited 29× · AI/ML
Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits
Summary
Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits is a scholarly article[1].
Key Facts
Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits. Retrieved May 24, 2026, from https://4ort.xyz/entity/long-term-robust-identification-potential-of-a-wavelet-packet-decomposition-based-recursive-drift-correction-of-e-nose-d
MLA“Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/long-term-robust-identification-potential-of-a-wavelet-packet-decomposition-based-recursive-drift-correction-of-e-nose-d.
BibTeX@misc{4ortxyz_long-term-robust-identification-potential-of-a-wavelet-packet-decomposition-based-recursive-drift-correction-of-e-nose-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits}}, year = {2026}, url = {https://4ort.xyz/entity/long-term-robust-identification-potential-of-a-wavelet-packet-decomposition-based-recursive-drift-correction-of-e-nose-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Long-term robust identification potential of a wavelet packet decomposition based recursive drift correction of E-nose data for Chinese spirits — https://4ort.xyz/entity/long-term-robust-identification-potential-of-a-wavelet-packet-decomposition-based-recursive-drift-correction-of-e-nose-d (retrieved 2026-05-24)
