John Von Neumann Faculty Of Informatics 1

1. Deep Learning for Structural Health Monitoring of Pavements for Improving Road Maintenance and Management
2. A deep reinforcement learning approach for wind speed forecasting
3. Explainable deep learning hybrid models for enhanced prediction of river dissolved oxygen concentration
4. Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles
5. Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment
6. Spatial preferences of small and medium knowledge based enterprises in Tehran new business area
7. VALF: VALIDATION-ADAPTIVE FOCAL LOSS FOR HISTOPATHOLOGY
8. DETECTING BUILDING DEFECTS WITH DEEP LEARNING
9. Modeling Remaining Service Life and Structural Health Monitoring of Roads with Machine Learning and Deep Learning
10. TIPS: A text interaction evaluation metric for learning model interpretation
11. Machine Learning for Modeling Stress Evolution
12. Deep learning for electroencephalography emotion recognition
13. Hybrid machine learning and deep learning models for river suspended sediment load forecasting
14. EVALUATION OF THE HIPPOTHERAPY BENEFITS FOR DOWN SYNDROME PARTICIPANTS USING GOETHE GAIT LAB MOTION TESTING SYSTEM
15. An Enhanced Fuzzy Routing Protocol for Energy Optimization in the Underwater Wireless Sensor Networks
16. Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework
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