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Wearable robotics holds promise for enhancing human capabilities and addressing motor challenges in individuals with impairments, amputations, or those who are healthy. Exoskeletons, among various wearable devices, are designed to be worn on the upper or lower limbs. While some applications, like in the medical field, have been widely adopted, …

Complex systems, composed of numerous interacting subsystems, exhibit intricate dynamics that are challenging to model and understand. This dissertation focuses on advancing methodologies for detecting the direction and quantifying the strength of couplings in such systems and presents their application to real data. The basics of dynamical systems and chaos …

One of commonly used analytical technique for direct elemental analysis of solid samples is Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Although widely used for the analysis of various samples, obtaining accurate quantitative results remains a major challenge as matrix-matched standards are required. The aim of this thesis was …

Automatic terminology extraction, also known as automatic term extraction (ATE), is a natural language processing (NLP) task that identifies specialized terminology from domain-specific corpora. ATE is often used for terminographic tasks (e.g., the creation of specialized dictionaries) and contributes to several complex downstream tasks (e.g., machine translation and information retrieval). …

Omnipresence of sensor-equipped devices spurred rapid development of e-health and mhealth applications in the past decades. Despite their wide-spread adoption in the form of wearables, such devices are ultimately not a universal or ideal solution for regular health monitoring due to their reliance on battery, requiring skin contact and general …

This thesis focuses on the development and optimisation of zirconium conversion coatings (ZrCCs) on cold-rolled steel (CRS), zinc (Zn), and aluminium alloy AA5754 substrates through a multidimensional approach. The utilization of statistical tools, specifically response surface methodology (RSM), enabled the assessment of the individual and mutual effects of various parameters …

Lipid droplets (LDs) are intracellular organelles that store lipids, mainly triacylglycerols (TAGs) and sterol esters. LDs were initially considered just inert fat reservoirs but have now been identified as critical players in the cellular stress response, especially in cancer cells. In response to various kinds of stress, including nutrient deprivation …

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 …

In this thesis, we introduce novel methods for equation discovery (ED), based on the use of probabilistic grammars. ED and symbolic regression address the task of finding a symbolic mathematical model that best describes observed data. Models can be as simple as an algebraic equation or as complex as a …

This dissertation combines academic research and the application of its results to a real benchmark process. With the emerging electro-energetic systems that have a large share of renewable sources, hydrogen is becoming an important energy carrier that contributes to the storage and usage of surplus green energy and thus reduces …