Faculty Of Innovative Technologies 1

1. Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy
2. Evaluating the impact of pattern recognition on AI skills development in universities
3. Automation of flow analysis in scleral vessels based on descriptive-associative algorithms
4. Acoustic method of quality control of two-component composite materials
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