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Feature ranking is the machine learning task of inducing an ordering of features in a given dataset according to some notion of relevance. We consider the feature ranking task in the context of supervised learning, where the notion of feature relevance is defined with respect to a target concept. Feature …

In this thesis we present the development of the device for the removal of carbon deposits in fusion reactors. Amorphous hydrogenated carbon deposits (a-C:H) represent a major problem for smooth operation of future fusion reactors with divertors containing carbon tiles, because they cause retention of radioactive tritium. There are techniques …

A new approach for the synthesis of silver (Ag), platinum (Pt) and gold (Au) nanoparticles and their composites with hydroxyapatite (HAp) is developed via a sonochemical process. The major goal was to design physicochemical properties of material in order to achieve: (i) intensive antibacterial activity and (ii) maximal reduction of …

SRAM-based FPGAs have become an attractive solution for many applications where a short development time, low-cost for low-production volumes, and in-the-field-programming ability are important issues. The flexibility of SRAM-based FPGAs comes from the adoption of a configuration memory that defines the operations of the circuit that the FPGA implements. It …

Can a model constructed by machine learning or data mining programs be trusted? For example, it is known that a decision tree model can contain less-credible parts caused by pathologies in induction algorithms, noise and missing values in data, or simply because of the complexity of a domain. Such models …

The research work presented in this thesis considers the development of new biocompatible surfaces that are able to control the adhesion of specific proteins responsible for the development of neurodegenerative diseases such as Creutzfeldt–Jakob, Alzheimer, Parkinson and Lewis body disease. Our approach was focused on problems prior to the detection …

This dissertation addresses the problem of parameter estimation of stochastic, discrete-time, state-space models from input and output data. This class of problems can be found in many modern engineering applications, where the relationships in the real world processes have to be inferred from the observed data and available prior knowledge. …

Organotin compounds (OTCs) are the organometallic compounds with the most numerous applications. Today, it is more than 50 years of their intensive development and use. While they are highly useful chemicals they are also extremely toxic to a wide array of aquatic and terrestrial living organisms at very low concentrations. …

In this doctoral thesis, radio signal propagation in special environments is discussed. The primary focus is on the development of a path loss model for radio signal propagation in long road tunnels and underground passageways, which allows a rather precise calculation of radio signal path loss and, consequently, a quick …

The past fifteen years has seen the rapid development of various wireless communication devices, which operate at microwave or milimeterwave frequencies (mobile phones, wireless local-area networks (LAN), Bluetooth, etc.). At the same time, this progress has stimulated the development of new materials and process technologies, which enable the size reduction …