REPOSITORY > LATEST

Ferroelectric materials have the ability to convert electrical energy into mechanical energy and vice versa, which makes them widely used as sensors, actuators, and ultrasonic transducers. While their electrical and electromechanical properties are well studied, mechanical properties like Young’s modulus (E) and hardness (H) remain known to a lesser extent. …

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 two distinct but related optimization problems: bilevel and minmax problems, in the context of evolutionary algorithms (EAs). Bilevel optimization involves hierarchical decision-making, where decisions at the upper level are subject to constraints defined by the solutions of an optimization problem at the lower level. These problems are …

This thesis introduces a new optimization method based on deep learning, designed for data influenced by random processes. The main contribution of this method is the combination of advanced noise reduction techniques with recurrent neural network models, which helps to prevent the common problem of overfitting seen when there is …

In the scope of this thesis, I focused on SrTiO3 (ST)-based dielectric ceramic composites as a lead-free perovskite material, which holds great potential for use in various electronic components. Such materials are large-scale and fabricated under high energy requirements, indicating an increasing need for a more environmentally friendly processing method. …

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 …

News spreads in many patterns, structures, and dynamics that change throughout time. For a variety of reasons, certain news is only covered in a particular area. Language, economy, geography, politics, time zone, and culture are just a few of the many barriers that prevent news from reaching a larger audience. …

Metal oxide and sulfide nanostructures are a versatile family of materials with wide-ranging applications, and their development remains ongoing. In nanoscience, attention is being directed towards their synthesis and further advancement, including the creating of new complex structures and morphologies. In this regard, ion-exchange reactions have emerged as a cutting-edge …

This thesis focuses on the information dynamics of children’s melody and, more specifically, on modeling children’s perception of melodic surface. The topic of children’s melody has not received much attention in the past, and there are currently no clear definitions of what exactly a “children’s melody” is. As neither children’s …

This thesis presents the simulation of approximated Gaussian process autoregressive models. Gaussian process models are a Bayesian nonparametric regression method, the main advantage of which is the quantification of uncertainty in closed-form. However, the closedform solution for the marginal likelihood results in a cubic computational complexity with respect to the …