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, ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

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 ...

This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges ... while maintaining the advantages of advanced machine learning algorithms. 2 ...

With efficient algorithms, well-chosen functions and enough examples, machine learning can create powerful computational models that do things we have no idea how to program. Classification and ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Image classification ... transfer learning can speed up training time and could also reduce the amount of computational resources needed to train algorithms. This efficiency is significant ...