Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
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