Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
We plan to conduct a new round of testing in 2025. December 2024 A bread machine won’t make the most gorgeous loaves, or produce the kind of glossy, crackly crust you’d get from high heat baking.
Researchers highlight that the variability in speech perception among cochlear implant users can be addressed with a ...
One of the lesser-realized but very important elements of artificial intelligence is real-time adaptation and decision-making ...
An international team has combined organic synthesis with predictive models to discover new functional materials that enhance ...
The world of finance is advancing quickly, with technology playing an increasingly significant role in decision-making ...
Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic ...
Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health ...
The following is a summary of “Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based ...
A recent study showed that a metabolomic clock developed using a specific machine learning algorithm, called Cubist ...
King’s College London researchers found that AI-based aging clocks using blood metabolite data can predict health and ...
Retail sales forecasting has long been a cornerstone of operational success in the industry, guiding businesses in optimizing ...
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