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The rapid evolution of sensor technologies, particularly within the Internet of Things (IoT) domain, has led to an era dominated by massive real-time data flows. This transition resulted in the need for novel data processing methodologies that facilitate the shift from traditional offline batch analytics to agile real-time predictions and …

Air pollution is an inevitable problem that modern society has to face today, with particulate matter (PM) being the most dangerous part of it, threatening human health and the environment. Not all PM particles, however, are equally harmful, since the dangerous potential depends on their size and chemical composition, which …

In this thesis we address the problem of learning various types of decision trees from timechanging data streams. In particular, we study online machine learning algorithms for learning regression trees, linear model trees, option trees for regression, multi-target model trees, and ensembles of model trees from data streams. These are …

The aim of the present thesis was to examine the effect of acute and long-term normobaric hyperoxic exposure on selected haemodynamic and haematological responses during resting and exercise conditions in healthy aerobically well-trained males. This purpose was evaluated in four separate studies, and each of them had a specific aim …

Over the last decade we have been witnessing rapid development of telecommunication networks and services, in particular in the filed of new wireless network technologies. On different markets users are able to communicate using different wireless technologies. The first two generation of mobile networks (i.e. NMT and GSM) were developed …