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Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Many in the chemical process industries (CPI) view generative artificial intelligence (genAI) as a powerful augmentation ...

Tycoon2FA has become a leading phishing-as-a-service (PhaaS) platforms, enabling campaigns that reach over 500,000 organizations monthly, prompting Microsoft’s Digital Crimes Unit (DCU) to work with ...

Researchers say a lightweight UAV can “smell” its way to an odour source indoors, relying on a minimal sensor setup and a reproducible simulation-to-real system.

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...