Home ›
Entities
› academia
› Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss
Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss
Research article (Analytical Chemistry, 2023) · cited 10× · AI/ML
Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss
Summary
Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss is a scholarly article[1].
Key Facts
Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-supervised-deep-learning-based-multi-component-spectral-calibration-modeling-for-uvvis-and-near-infrared-spectrosco
MLA“Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-supervised-deep-learning-based-multi-component-spectral-calibration-modeling-for-uvvis-and-near-infrared-spectrosco.
BibTeX@misc{4ortxyz_semi-supervised-deep-learning-based-multi-component-spectral-calibration-modeling-for-uvvis-and-near-infrared-spectrosco_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss}}, year = {2026}, url = {https://4ort.xyz/entity/semi-supervised-deep-learning-based-multi-component-spectral-calibration-modeling-for-uvvis-and-near-infrared-spectrosco}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss — https://4ort.xyz/entity/semi-supervised-deep-learning-based-multi-component-spectral-calibration-modeling-for-uvvis-and-near-infrared-spectrosco (retrieved 2026-05-24)
