Simple Hyperbolic Fuzzy Sets Outperform Complex Diophantine Models in Accuracy Test
A new study finds that parameter-free hyperbolic fuzzy sets achieve perfect classification accuracy while heavily parameterized Diophantine fuzzy models collapse ...
A new study finds that parameter-free hyperbolic fuzzy sets achieve perfect classification accuracy while heavily parameterized Diophantine fuzzy models collapse ...
A new Monte Carlo and response surface framework reveals that traditional V-belt design rules overestimate installation slack by about 30 ...
A nationally representative Chinese cohort study finds that the links between living arrangements and mortality or cognitive decline among older ...
A six-year analysis of Philadelphia mortgage applications finds Black applicants face denial odds about 2.5 times those of White applicants, ...
A new meta-analysis of eleven randomized controlled trials finds that physical exercise may modestly improve social skills in autistic children, ...
A new review argues that manufacturing carbon footprints are undermined by fragmented methodologies, and that embedding emissions data into model-based ...
Researchers have developed a polynomial chaos expansion framework that turns two-dimensional chloride corrosion modeling of repaired marine concrete structures into ...
Researchers trained five machine learning models on 3,185 measurements to predict the refractive index of surfactant-containing lithium bromide solutions with ...
A new probabilistic study shows that flood scour can leave bridge pile-group foundations with an 82 percent likelihood of seismically ...
Researchers have built a natural-language interface that lets life cycle assessment practitioners run parameter-level scenarios by describing them in plain ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine