Search Results (33)
Quantitative imaging of cisplatin in tumour samples by laser ablation inductively coupled plasma mass spectrometry
Medicine relies on imaging techniques such as ultrasound, magnetic resonance, computed tomography and histopathological image analysis because they provide valuable data needed for the diagnosis and treatment of diseases and injuries. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is often used in research and for the advanced diagnosis and …
Time-efficient method for monitoring electrochemical energy conversion systems
According to the EU’s Green Deal plan, one of the main objectives for the EU is to become a net-zero greenhouse emission society by 2050. Achieving this goal requires advancements across many areas ranging from energy production, conversion, distribution and energy storage where the key role is taken by the …
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 …
Removal of contaminants of emerging concern using algal photobioreactors
Contaminants of emerging concern (CEC) are organic pollutants occurring in wastewater and consequently enter the environment. An alternative to conventional wastewater treatment are algal photobioreactors, which treat wastewater with low energy input while producing nutrient- and energy-rich algal biomass and treated water, which both have the potential to be reused. …
Correlation of the mechanical properties and wear behaviour with the microstructural characteristics of tool steels
Wear is one of the key problems with many types of engineering components as it can limit their life expectancy. The same is true for tools and tool steels, which are the focus of this doctoral thesis. Tool-wear response and behaviour are closely related to a material’s final microstructure and …
Iodine(I) compounds: Catalysts for iodination of organic molecules
The use of hydrogen peroxide as enviromentally benign oxidant for the oxidative iodination of organic molecules with iodine in the presence of halide ions as catalysts for the formation of iodine(I) species was investigated. The study of the reaction system iodine/ hydrogen peroxide/ acid revealed the formation of iodine(I) compound …
Femtosecond relaxation dynamics in collective-electronic-state materials: cuprate and iron-pnictide superconductors and charge-density wave systems
This thesis covers a study of the photoexcited relaxation dynamics in superconducting ironbased pnictides, cuprates and charge-density wave systems by means of femtosecond laser spectroscopy. To examine the temperature and fluence dependence of photoinduced reflectivity transients ΔR/R in iron-based pnictides and cuprates, we apply a standard double pump-probe technique, while …
Spectroscopic characterization of conformations of short alanine peptides, poly-L-lysine and insulin during formation of amyloid fibrils
The process of protein folding describes the transition by which an unordered polypeptide chain attains its functional native three-dimensional structure. A detailed understanding of the principles which govern the protein folding, such as conformational preferences of amino acid residues, the neighbour residue effect and the solvent effects, remains an important …
Investigation of heterogeneous reactions of trifluoromethane with some metal oxides, hydroxides and carbonates
Heterogeneous reactions of trifluoromethane CHF3 with solid xerogel oxides, alkali hydroxides and carbonates were investigated under static and dynamic conditions and at moderate temperatures. In all cases, main reaction is fluorination characterised by a complete decomposition (mineralisation) of the fluorinating agent, CHF3, and the formation of the solid metal fluorides. …
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 …