Meta-learning improves concrete strength prediction with limited data
A new meta-learning framework improves concrete strength prediction accuracy and interpretability using limited data.
A new meta-learning framework improves concrete strength prediction accuracy and interpretability using limited data.
A prospective study of 499 older adults in the emergency department found that lower handgrip strength was significantly associated with ...
A hybrid deep learning model combining convolutional autoencoders, transformer self-attention, and recurrent networks predicts concrete compressive strength from microscopic imagery ...
In an exploratory prospective pilot study of nineteen male professional ice hockey players, 12 weeks of grip-strength training was associated ...
A study published in Discover Concrete and Cement found that a ternary binder mix of cement, fly ash, and silica ...
A cross-sectional study of 6,839 middle-aged and older Chinese adults links lower relative handgrip strength to an increased risk of ...
A real-world cohort study found that the SARC-F questionnaire strongly predicts long-term care facility admission and one-year mortality among older ...
A new perspective paper argues that while swearing has repeatedly improved strength, power and endurance measures in controlled lab studies, ...
A new commentary argues that grip strength may not fully capture functional determinants of successful aging and flags methodological concerns ...
Polyester resin raised the tested clay’s strength most at the lower initial water content, while microscopy linked the difference to ...
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© 2026 Scienmag - Science Magazine