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Different approaches for enhancing dielectric response of polymer and ceramic materials

Author(s): Vida Jurečič (Author), Vid Bobnar (Supervisor), Nikola Novak (Co-Supervisor)

Year: 2025

Type: Doctoral dissertation

Dielectric materials are essential components of electronic devices and electric power systems. Consequently, the design and development of new materials with enhanced dielectric response remain of great importance. This dissertation examines three different approaches to enhancing the dielectric response: (i) percolative composites, (ii) polymer blending, and (iii) the induction of …

Representing and exploiting benchmarking data for optimisation and learning

Author(s): Ana Kostovska (Author), Panče Panov (Supervisor), Sašo Džeroski (Co-Supervisor), Tome Eftimov (Co-Supervisor)

Year: 2025

Type: Doctoral dissertation

The rapid advancements in Machine Learning (ML) and Black-Box Optimization (BBO) have led to an increased reliance on benchmarking data for evaluating and comparing algorithms across diverse domain tasks. However, the effective exploitation of this data is hindered by challenges such as syntactic variability, semantic ambiguity, and lack of standardization. …

Enhancing the performance of highly filled polymerbonded Nd-Fe-B magnets: Integrated advanced surface treatments and additive manufacturing

Author(s): Ana Damnjanović (Author), Ingrid Milošev (Supervisor), Nataša Kovačević (Co-Supervisor)

Year: 2025

Type: Doctoral dissertation

This doctoral dissertation present research aimed into enhancing polymer-bonded Nd–Fe–B magnets through innovative surface treatments and additive manufacturing techniques, focusing on improving their mechanical strength, magnetic characteristics, and environmental stability. This research is critical for broadening the applicability of these magnets in sectors like green technologies and motion control systems. …

Using machine learning methods for analyzing sequential textual data

Author(s): Erik Novak (Author), Dunja Mladenić (Supervisor)

Year: 2024

Type: Doctoral dissertation

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 …

Numerical methods for directional coupling detection from time series of complex systems

Author(s): Martin Brešar (Author), Pavle Boškoski (Supervisor)

Year: 2024

Type: Doctoral dissertation

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 …

Bias prediction in multilingual news reporting

Author(s): Swati (Author), Dunja Mladenić (Supervisor)

Year: 2024

Type: Doctoral dissertation

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 …

Tracing mercury in the wider Idrija region using stable isotopes

Author(s): Dominik Božič (Author), Milena Horvat (Supervisor), Marko Štrok (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Mercury, a toxic element, known for its physical and chemical properties, spreads throughout the environment and is found in various ecosystems, including water, air, soil, and biological systems. The natural mercury cycle begins beneath the earth's crust, where it rises to the surface and is released into the air through …

Piezoelectric polymer films made of polyl-lactic acid for biomedical use

Author(s): Lea Gazvoda (Author), Marija Vukomanović (Supervisor)

Year: 2024

Type: Doctoral dissertation

In the field of biomedical materials, conventional approaches to tissue engineering and wound healing face limitations that encourage the exploration of innovative treatments. This work presents multifaceted exploration of piezoelectric polylactic acid (PLA) films intended for biomedical applications, from the optimization of the conditions for efficient film preparation to the …

Intra- and inter-trophic interactions of generalist forest predator

Author(s): Urška Ratajc (Author), Al Vrezec (Supervisor)

Year: 2024

Type: Doctoral dissertation

We are witnessing major shifts in ecosystems due to intense anthropogenic pressures on the environment in recent decades, including rapid climate change, which is one of the strongest drivers of a global biological response. Raptors, which are at the top of the trophic web, are important indicators of ecosystem health. …

Temperature fractionation of mercury in the cement production process

Author(s): Sabina Berisha (Author), Milena Horvat (Supervisor), Tanja Ljubič-Mlakar (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Cement production is one of the main contributors to mercury emissions in to the atmosphere. Many national and international legal i nstruments aim to control and reduce Hg emissions. Hg enters the cement production process as an impurity in fuels and raw materials, with the latter being the main source …