Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

In this article we explore how AI improves hurricane forecasts, weigh the advantages and drawbacks, and look ahead to the ...

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...

To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from ...

Facial expressions are essential components of human relationships that help us understand the intentions of others. Automated emotion recognition from facial expressions applies to various fields, ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Fatigue driving detection is essential to prevent traffic accidents and ensure driving safety. Electroencephalogram (EEG) signals serving as the key physiological indicators of brain activity are ...

Understanding key machine learning algorithms is crucial for solving real-world data problems effectively. Data scientists should master both supervised and unsupervised learning algorithms for ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...

Machine learning (ML) is evolving rapidly, with new algorithms and frameworks reshaping industries across the globe. As we move into 2025, a firm grasp of modern ML algorithms has become essential—not ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...