Big Data Cannot Save Bad Sampling: Why Process Sensors Need Sampling Theory First
A new Frontiers in Analytical Science review shows that sophisticated sensors and machine learning cannot compensate for biased or unrepresentative ...
A new Frontiers in Analytical Science review shows that sophisticated sensors and machine learning cannot compensate for biased or unrepresentative ...
Researchers combined manganese-doped ZnO/silica nanocomposites with machine learning and digital colorimetry to achieve rapid, nondestructive quality control and 96% visible-light ...
Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed ...
Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.
A new study combines mass spectrometry, infrared spectroscopy, and deep learning to identify the exact taste and aroma compounds that ...
A new review in Food Chemistry: X shows that differential scanning calorimetry and thermogravimetric analysis, boosted by chemometrics and artificial ...
A handheld near-infrared spectrometer combined with a new bilinear surface model and covariance-guided sampling predicts five gluten quality indicators in ...
A new chemometric study ranks five Guizhou teas by integrating thermogravimetric, amino acid, and trace element data into an objective ...
Researchers in India have shown that a bare, unmodified gold electrode combined with square-wave voltammetry and chemometric validation can detect ...
A systematic review of a decade of research finds that FTIR and Raman spectroscopy can reliably distinguish ancient from recent ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine