Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Bangladeshi researcher Md Masum Billah has been working to advance the application of artificial intelligence in healthcare and digital security, focusing on practical solutions for real-world ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and interact with the world.
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...
Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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