Simple statistical models hold their own in forecasting footwear factory output
A study of 34 real footwear production observations found ARIMA delivered the most accurate short-term forecasts of pairs per hour, ...
A study of 34 real footwear production observations found ARIMA delivered the most accurate short-term forecasts of pairs per hour, ...
A new hybrid model combining a physics-based drag model with XGBoost machine learning reduced average forecast errors for coronal mass ...
A hybrid ConvNeXV2 and Transformer–TCN deep learning model forecasts C-class and M-class solar flares 24 hours ahead with True Skill ...
A GBD 2023 modelling study projects that hip fracture incidence in Chinese adults aged 60 and older, which more than ...
A field study of a thermally delayed biomass-fired boiler found that a simple linear autoregressive model outperformed complex machine-learning forecasts ...
A new study in Solar Physics shows that deep convolutional neural networks can extract flare-relevant information directly from the spatial ...
A new Frontiers Research Topic gathers eight studies spanning within-host coinfection dynamics, plant-virus control, healthcare system resilience, and machine-learning epidemic ...
Universal electricity access by 2030, a cornerstone of the United Nations Sustainable Development Goal 7, remains significantly off track in ...
Retrospective and scenario-based analyses at five volcanoes show how warning thresholds can balance precautionary costs against modeled eruption losses; the ...
A national time-series analysis projects Uganda's monthly stroke cases and deaths will keep climbing through 2028, driven mainly by rising ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine