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AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...
We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...
Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...
Models of EC prediction with only clinical-pathologic data performed as previous historical models. 16, 17, 22, 23 What was unique of our study is that we separated model building by EC risk group, so ...
Utilizing ML models leads to expedited predictions, reducing calculation time and improving energy efficiency, thereby reducing environmental impact through optimized power circuits.” Find the ...
Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such ...
The top databases for machine learning and AI in 2023, as per the search results, include PostgreSQL, Redis, MongoDB, Cassandra, and Amazon Aurora.
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