Search Results (17)
Optical emission spectroscopy as a tool for monitoring cold atmospheric pressure plasma processes
Non-equilibrium atmospheric pressure plasmas are used in many areas, such as food and agriculture, plasma medicine, plasma surface modification, material synthesis and deposition. Because of their versatility, many plasma setups have been developed. Of greater interest are those that operate at atmospheric pressure, like atmospheric pressure plasma jets (APPJs). Regarding …
Food and drink image detection and recognition using deep convolutional neural networks
A healthy diet is becoming increasingly relevant as recognizing dietary deficiencies often leads to actionable results that can improve the individual’s overall health. However, to identify areas of potential improvement, tracking food intake is necessary. Manual methods have traditionally been used to perform this tracking, but these methods have a …
Method for the determination of uranium isotope ratios and its application as a novel geochemical tracer
U and Th isotopic composition have been proven to be a valuable tool in environmental science, oceanography, hydrology, geology, nuclear forensics, and science-based archaeology. These applications require simultaneous detection of both minor and major isotopes at high accuracy. Often, the amount of sample or concentration of U and Th are …
Classification of wireless links using machine learning techniques
Due to the nature of the wireless transmission medium, wireless communications are characterised by notably larger losses of data packets than wired communications. The quality of wireless links is highly dependent on channel variations, interference and even transceiver imperfections. Such link uncertainty instigated the development of numerous techniques that can …
Algorithms for Learning Regression Trees and Ensembles on Evolving Data Streams
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 …
Assessment of behavioural thermoregulation in humans: with particular reference to mild narcosis and prolonged bed rest
Behavioural responses are the most efficient thermoregulatory responses, since relatively simple actions can prevent the need to activate the more metabolically costly autonomic responses. Dependence on behavioural responses may increase in environmental conditions where the prevailing nonthermal factors (NTF) attenuate autonomic responses and alter thermal perception (Mekjavic et al., 2003; …
Monitoring of the product quality in manufacturing industries
Unexpected production breakdowns and unpredictable defects in product quality remain critical problems in modern manufacturing systems. Usually occuring by no obvious exterior cause and often during periods of smooth production, they lead to production losses and reduced process availability, which results in lower profit rates. Conventional statistical methods of process …