Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization

1. Schur Parametrization and Orthogonal Modeling of p-Stationary Second-Order Stochastic Processes

2. Efficient DOA algorithms using multi-dimensional high-resolution Fourier transform

3. Wireless localization systems

4. Towards generating Palladio performance models from PIM and PSM models

5. Architecture of Dependency-Noise Ensemble for statistic-based diversification of multiple classifier systems

6. Model of active noise reduction system with adaptive filtering algorithms applied to automotive

7. A novel approach to learning and designing neural networks-based ensemble

8. Model based scheduling algorithm for transport and assembly of construction processes

9. Preference falsification: Insights from Monte Carlo simulations of an agent-based model with a Hamiltonian