Color Sensor Array and Machine Learning Classify Tea and Measure Antioxidant Levels
A dynamic covalent colorimetric sensor array paired with machine learning successfully classifies diverse tea categories and quantifies the antioxidant EGCG ...
A dynamic covalent colorimetric sensor array paired with machine learning successfully classifies diverse tea categories and quantifies the antioxidant EGCG ...
A computational systems biology study reveals that oral bacteria differentially rewire host autophagy networks in oral squamous cell carcinoma, separating ...
In Argentina's Monte Desert, intensive livestock grazing reduces shrub patch cover and satellite-measured vegetation activity without altering overall woody canopy ...
In vivo Raman spectroscopy tracked dynamic biochemical remodeling in pregnant mice, differentiating preterm labor etiologies and term birth with 85.6 ...
Researchers developed a Riemannian-weighted filter bank framework that enhances multiclass motor imagery brain-computer interface classification, achieving an 81.83 percent ensemble ...
A retrospective study evaluating eight statistical learning models found that generalized neural network mixed models best predicted surgical competence but ...
A radiological study of 306 Egyptian adults demonstrated that machine learning algorithms, led by decision trees using femoral head diameter, ...
A benchmark of 24 computational models reveals that sparse electroencephalography configurations paired with personal baseline adaptation effectively detect hypoglycemia in ...
A multi-criteria decision framework integrating morphometric analysis and support vector machines prioritized erosion-prone sub-watersheds across the Aran River basin in ...
Researchers evaluated the physical dimensions, proximate composition, and mineral profiles of Ghanaian egusi melon seeds while demonstrating that near-infrared spectroscopy ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine