E. Davies | A generalised approach to the use of sampling for rapid object location | 7-19 |

A. Kummert S. Schauland J. Velten | Detection of moving objects in image sequences using 3D velocity filters | 21-31 |

T. Wiejrzanowski W. Spychalski K. Różniatowski K. Kurzydłowski | Image based analysis of complex microstructures of engineering materials | 33-39 |

E. Skubalska-Rafajłowicz | Local correlation and entropy maps as tools for detecting defects in industrial images | 41-47 |

E. Rafajłowicz M. Pawlak A. Steland | Nonlinear image processing and filtering: a unified approach based on vertically weighted regression | 49-61 |

Y. Li A. Kummert F. Boschen H. Herzog | Interpolation-based reconstruction methods for tomographic imaging in 3D Positron Emission Tomography | 63-73 |

Ł. Jeleń T. Fevens A. Krzyżak | Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies | 75-83 |

M. Smereka I. Dulęba | Circular object detection using a modified Hough transform | 85-91 |

M. Pawlak Y. Xin | M -ary phase modulation for digital watermarking | 93-104 |

M. Wnuk | Remarks on hardware implementation of image processing algorithms | 105-110 |

F. Ponulak | Analysis of the resume learning process for spiking neural networks | 117-127 |

I. Uysal H. Sathyendra J. Harris | Towards spike-based speech processing: a biologically plausible approach to simple acoustic classification | 129-137 |

J. Śmieja | Model based analysis of signaling pathways | 139-145 |

R. Cierniak | A new approach to image reconstruction from projections using a recurrent neural network | 147-157 |

A. Obuchowicz M. Hrebień P. Steć T. Nieczkowski | Segmentation of breast cancer fine needle biopsy cytological images | 159-170 |

A. El Jai Y. Qaraai A. Bernoussi | How to compensate a spreading disturbance for a class of nonlinear systems | 171-187 |

A. Kowalewski A. Krakowiak | Time-optimal boundary control of an infinite order parabolic system with time lags | 189-198 |

J. Respondek | Approximate controllability of infinite dimensional systems of the n-th order | 199-212 |

S. Guermah S. Djennoune M. Bettayeb | Controllability and observability of linear discrete-time fractional-order systems | 213-222 |

T. Kaczorek | Fractional positive continuous-time linear systems and their reachability | 223-228 |

M. Khadir J. Ringwood | Extension of first order Predictive Functional Controllers to handle higher order internal models | 229-239 |

J. Kukluk L. Holder D. Cook | Inferring graph grammars by detecting overlap in frequent subgraphs | 241-250 |

E. Kuriata | Creation of unequal error protection codes for two groups of symbols | 251-257 |

E. Zerz | Behavioral systems theory: a survey | 265-270 |

P. Bauer | New challenges in dynamical systems: the networked case | 271-277 |

D. Owens S. Daley | Iterative Learning Control — monotonicity and optimization | 279-293 |

R. Rabenstein S. Petrausch | Block-based physical modeling with applications in musical acoustics | 295-305 |

T. Zięba D. Uciński | Mobile sensor routing for parameter estimation of distributed systems using the parallel tunneling method | 307-318 |

M. Hunger D. Marienfeld | New self-checking Booth multipliers | 319-328 |

S. Yarmolik | Address sequences and backgrounds with different Hamming distances for multiple run March tests | 329-339 |

M. Sawerwain R. Gielerak | Natural quantum operational semantics with predicates | 341-359 |

P. Molchanov A. Totsky | Application of triple correlation and bispectrum for interference immunity improvement in telecommunications systems | 361-367 |

K. Halawa | Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform | 369-375 |

K. Gałkowski Ł. Hładowski B. Cichy E. Rogers | On the development of SCILAB compatible software for the analysis and control of repetitive processes | 377-387 |

S. Banerjee | Immunotherapy with interleukin-2: a study based on mathematical modeling | 389-398 |

Y. Yang S. Huang N. Rao | An automatic hybrid method for retinal blood vessel extraction | 399-407 |

S. Petruseva | Emotion learning: solving a shortest path problem in an arbitrary deterministic environment in linear time with an emotional agent | 409-421 |

Y. Tharrault G. Mourot J. Ragot D. Maquin | Fault detection and isolation with robust principal component analysis | 429-442 |

M. Witczak K. Patan J. Korbicz | Towards robustness in neural network based fault diagnosis | 443-454 |

E. Skubalska-Rafajłowicz | Random projection RBF nets for multidimensional density estimation | 455-464 |

A. Ligęza J. Kościelny | A new approach to multiple fault diagnosis: a combination of diagnostic matrices, graphs, algebraic and rule-based models. the case of two-layer models | 465-476 |

W. Cholewa | Mechanical analogy of statement networks | 477-486 |

N. Poulsen H. Niemann | Active fault diagnosis based on stochastic tests | 487-496 |

A. Yassine S. Ploix J. Flaus | A method for sensor placement taking into account diagnosability criteria | 497-512 |

D. Uciński M. Patan | Configuring a sensor network for fault detection in distributed parameter systems | 513-524 |

D. Sauter C. Aubrun J. Yamé | Fault diagnosis of networked control systems | 525-537 |

P. Tatjewski P. Marusak | Actuator fault tolerance in control systems with predictive constrained set–point optimizers | 539-551 |

D. Theilliol C. Join Y. Zhang | Actuator fault tolerant control design based on a reconfigurable reference input | 553-560 |

Z. Kowalczuk K. Oliński | Suboptimal fault tolerant control design with the use of discrete optimization | 561-568 |

C. Cempel | Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines | 569-579 |

E. Rafajłowicz M. Wnuk W. Rafajłowicz | Local detection of defects from image sequences | 581-592 |

M. Laursen M. Blanke D. Düştegör | Fault diagnosis of a water for injection system using enhanced structural isolation | 593-603 |