Nature

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
Nature

Soil microbiome prediction using traditional machine learning and deep learning models

Microbiomes are communities of microorganisms sharing the same environment. This environment can be any ecosystem, including the human body, soil, oceans, or plants. Microbial communities usually ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
Infectious Disease Advisor

Machine Learning-Based Model May Predict In-Hospital CAP Mortality

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
Local News Matters on MSN

PG&E uses artificial intelligence to weigh elevated fire risk

Pacific Gas & Electric is increasingly turning to artificial intelligence to refine the accuracy of weather models as it ...
EurekAlert!

Improving AI models’ ability to explain their predictions

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
HealthDay on MSN

Proteomics-, AI-based prediction system developed for diabetic retinal neurodegeneration

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), according to a study published online June 2 ...