Doctoral School Of Applied Informatics And Applied Mathematics 1

1. Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy
2. Deep Learning for Structural Health Monitoring of Pavements for Improving Road Maintenance and Management
3. MACHINE LEARNING FOR PAVEMENT PERFORMANCE AND SERVICE LIFE PREDICTION
4. MACHINE LEARNING IN EMPLOYMENT RESEARCH AND ALGORITHMIC MANAGEMENT
5. VALF: VALIDATION-ADAPTIVE FOCAL LOSS FOR HISTOPATHOLOGY
6. MODELLING CURRICULA WITH GNN AND LSTM FOR LINK AND SEQUENCE PREDICTION
7. Machine Learning for Modeling Stress Evolution
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