A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

NRL, also known as network embedding, aims at preserving graph structures in a low-dimensional space. These learned representations can be used for subsequent machine learning tasks, such as vertex ...

Researchers at CERN have used artificial intelligence (AI) to explore one of the Higgs boson’s most elusive behaviors, shedding light on its subtle interaction with charm quarks and bringing science ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds compared to traditional models that may require hours or days. The speed of ...

The proposed model uses various Pearson coefficient correlation methods for key feature selections and various classification algorithms of machine learning are applied for the prediction of Diabetes.