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Achieving ambitious targets for energy efficiency, increasing the share of renewable energy and accelerating the transition to a climate-neutral society faces a number of technical, environmental and social barriers. Challenges include the difficulty of siting energy facilities, balancing public benefits, bottlenecks in energy infrastructure, fluctuations in the energy market and …

Feature construction, encompassing both feature engineering, which involves the manual design of features by domain experts, and representation learning, which refers to the automated discovery of useful data representations during model construction, is a fundamental aspect of machine learning. Its goal is to transform raw data into a more suitable …

During space sojourns, astronauts experience musculoskeletal deconditioning caused by the lack of gravity. The adaptation of the musculoskeletal system to inactivity and unloading of the weight-bearing limbs may be countered by daily exercise. However, current exercise devices and strategies employed on the International Space Station (ISS) do not appear to …

This dissertation examines the ecological dynamics of phytoplankton communities in the northern Adriatic Sea, focusing on phenology, environmental drivers, and trophodynamics. The complexity of the region, characterized by the richness of phytoplankton communities, environmental variability and intensive human activities, is not seen as an obstacle but as an opportunity to …

This thesis investigates machine learning methods for analyzing sequential textual data. Sequential textual data refers to text collected in a specific order where the sequence is significant. Examples include (1) sentences, where word usage and order must adhere to the rules of grammar, (2) news reporting on events happening at …

Permanent magnets are vital parts of various devices, above all, those which are essential for the transition to a green society. However, they are made of materials, including rare-earth elements, for which unlimited availability cannot be taken for granted. Therefore, it is desirable to reduce the content of these materials …

Rapid population growth and increasing water demand places a serious strain on both quantity and quality of available local water resources. Climate change puts additional pressure by altering the water balance, affecting recharge conditions, and contributing to pollution and water degradation. Addressing these issues requires water management strategies that enhance …

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 …

Over the past decade, rapid advancements in natural language processing have opened up new avenues for tackling complex issues such as news bias analysis. This progress has empowered researchers to explore innovative approaches to uncovering the complex biases inherent in news production and coverage processes. News bias, a multifaceted reflection …

This dissertation examines two main topics. The first topic is focused on the potential of strontium (Sr) isotope analysis to characterise milk and truffles as selected food commodities, traditionally important for Slovenia. The 87Sr/86Sr ratio for determining the provenance of bovine milk and truffles originating from different regions of Slovenia …