The aim of this paper is to use data-driven algorithms for data analysis and development trend research using moving average models and hybrid models based on variational modal decomposition (VMD) and ...

Model performance based on different machine learning algorithms for thrombus state group vs. non-thrombotic group: training set and test set; prospective validation performance of logistic regression ...

This paper discusses the design of a machine learning algorithm based on multi-indicator decision making to improve the accuracy and efficiency of performance evaluation. Firstly, an ensemble learning ...

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory. "Human-decision research is rich in ...

Gas-Insulated switchgear (GIS) is prone to partial discharges (PDs) in high electric field environments, and the concentration of generated NO2 is an essential indicator for determining the PD types ...

Turn Your Android Device Into a Pro Photo Editor for Under $20 With this all-in-one AI-enhanced editing toolkit, you can get desktop-level photo editing features on your phone, including enhancing ...

Second, the workflow of machine learning for perovskite materials was delineated, accompanied by a brief introduction to the fundamental algorithms. Third, by analyzing the structure and composition ...

BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...

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