Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

A recent INMA Webinar featured Erica Greene, director of engineering for machine learning at Yahoo News, and Ritvvij Parrikh, ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...

Phage therapy has reemerged as a compelling alternative to antibiotics in treating bacterial infections, especially for superbugs that have developed antibiotic resistance. The challenge in the ...

Super Micro Computer (NASDAQ: SMCI) stock collapsed this week, falling to as low as $44.92 on Wednesday following disappointing fiscal fourth-quarter results. However, artificial intelligence ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

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 ...