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The label economics of calibration transfer: a five-benchmark, dual-modality evaluation of simple corrections versus deep and physics-informed representations

https://doi.org/10.2139/ssrn.7182538
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Bestimmung der Absorption des rothen Lichts in farbigen Flüssigkeiten
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Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument
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A chemometrician's guide to transfer learning
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
inferredcites →https://doi.org/10.1016/j.aca.2022.340154openalex-snapshot
Unsupervised dynamic orthogonal projection. An efficient approach to calibration transfer without standard samples
inferredcites →https://doi.org/10.1016/j.compag.2021.106584openalex-snapshot
An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments
inferredcites →https://doi.org/10.1016/j.infrared.2026.106436openalex-snapshot
Instrument-invariant near-infrared spectroscopy via domain adaptation for robust quantitative analysis of barley protein content
inferredcites →https://doi.org/10.1016/j.postharvbio.2007.06.024openalex-snapshot
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
inferredcites →https://doi.org/10.1016/j.postharvbio.2015.12.027openalex-snapshot
Color compensation and comparison of shortwave near infrared and long wave near infrared spectroscopy for determination of soluble solids content of ‘Fuji’ apple
inferredcites →https://doi.org/10.1016/j.postharvbio.2019.02.001openalex-snapshot
Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method
inferredcites →https://doi.org/10.1016/j.postharvbio.2020.111246openalex-snapshot
Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
inferredcites →https://doi.org/10.1016/j.postharvbio.2024.112783openalex-snapshot
Calibration transfer of cross soluble solids content of different kiwifruit cultivars based on Two-stage TrAdaBoost.R2
inferredcites →https://doi.org/10.1016/j.saa.2023.122418openalex-snapshot
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square
inferredcites →https://doi.org/10.1016/j.saa.2026.127582openalex-snapshot
A physics-informed dual-branch fusion network for quantitative determination of total phosphorus in water using near-infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.trac.2010.05.006openalex-snapshot
Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
inferredcites →https://doi.org/10.1021/ac00023a016openalex-snapshot
Multivariate instrument standardization
inferredcites →https://doi.org/10.1021/acsomega.5c00027openalex-snapshot
Machine Learning Approaches to Surpass the Limitations of the Beer–Lambert Law
inferredcites →https://doi.org/10.1038/s42254-021-00314-5openalex-snapshot
Physics-informed machine learning
inferredcites →https://doi.org/10.1109/jphot.2026.3662732openalex-snapshot
PhysRaman-Net: A Physics-Informed Neural Network for Cross-Device Raman Spectral Analysis
inferredcites →https://doi.org/10.1366/0003702854248656openalex-snapshot
Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat
inferredcites →https://doi.org/10.1366/0003702894202201openalex-snapshot
Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
inferredcites →https://doi.org/10.1371/journal.pone.0296545openalex-snapshot
Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.