Tag: Principal Component Analysis

A study of 800 knitwear images from a South Korean online fashion platform shows that products sharing a single hue ...

A 35-member trained panel in Zacatecas, Mexico, profiled 41 sensory attributes across three prickly pear cultivars, identifying distinct aromatic and ...

A rank-reduction autoencoder trained on only 421 electromagnetic simulations generated five validated optimized waveguide designs for 6G frequencies that a ...

A published study reports that a Big Bang-Big Crunch optimized Peephole LSTM model classified course records in a 10,000-record dataset ...

A year of continuous sensor measurements across Abeokuta and Shagamu shows urban sites running hotter than rural ones, especially at ...

A single-laboratory comparison of twenty Pakistani and Saudi Arabian date cultivars finds high variety-level variability in nutrients and minerals but ...

A hybrid framework combining quantum-annealing-based feature selection with PCA reduced carbon-emissions prediction errors by 4 to 7 percent compared with ...

A machine learning system used dark-field scattered-light spectra to identify mesothelioma cells with about 91% accuracy in patient-based validation.

A study of the Lillgrund offshore wind farm shows that the best way to represent rotor-plane wind fields for machine-learning ...

A three-year Bangladeshi field trial found Vietnamese Red as the highest-yielding dragon fruit genotype and Purple Dragon as the best ...