Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...
Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.
The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
The growing demand for smaller, lighter, and more embedded hardware has made Physical Unclonable Functions (PUFs) a promising solution for authentication in Int ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
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