When Months Go Missing: Data Gaps Can Wreck Space Climate Trend Estimates
A study of four ionospheric stations shows that missing monthly foF2 values substantially distort annual means and long-term trends once ...
A study of four ionospheric stations shows that missing monthly foF2 values substantially distort annual means and long-term trends once ...
A new review finds machine learning outperforms traditional linear models in predicting poultry nutrient requirements, with big data enabling precise, ...
A new software methodology synchronizes ECG and motion sensors against a gold-standard reference with an average R-peak delay of 20.1 ...
Researchers in Malaysia have built machine learning models that can flag which building occupants are likely to be suffering from ...
A new simulation framework calibrates agent-based models to routine surveillance data through an ODE surrogate, revealing that COVID-19 intervention rankings ...
A knowledge-distilled pyramid transformer with reduced attention achieved F1-scores of 90.92%, 97.76% and 94.59% on three 32 × 32-pixel image-classification ...
A six-facility assessment of 246,053 Zambian HIV records found pervasive gaps, implausible values and denominator-dependent outcomes that could allow AI ...
Machine learning now touches some of the most sensitive information people generate, from medical records to financial transactions, and the ...
A four-year Southwest Atlantic modeling study found that low-cost sea-surface temperature assimilation reduced sea-surface temperature error by 70% and improved ...
A slacks-based data envelopment analysis framework screened 34 Tehran-listed ETFs, identified seven efficient funds and converted super-efficiency scores into exact ...
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© 2025 Scienmag - Science Magazine