A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well-being, health, social connections, and finances. Understanding the human ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
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