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This thesis covers a set of methods related to machine perception and localization, which are two important building blocks of artificial intelligence. In Paper I, we explore the concept of regression via classification (RvC), which is often used for perception tasks where the target variable is either ordinal or when the distance metric of the target space is not well-suited as an objective funct
The rapid emergence of Generative Artificial Intelligence (GenAI) presents higher education with unprecedented opportunities to augment and enhance learning. As educators, learners, technologists and institutional leaders, we find ourselves navigating uncharted territory. How can we evaluate, integrate and govern these rapidly evolving technologies responsibly, so that they enrich rather than disp
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation pro
In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound field is a linear function of the measurements, allowing the field to be estimated efficiently from distributed microphone measurements. However, to ensure analytical tractability, most existing kernels for sound field estim
We have developed a tool, the MAGIC library, which provides an acidification assessment for any given lake or stream in Sweden based on ten parameters describing lake geographical position, surface area, annual discharge and observed lake water chemistry. The MAGIC library consists of two key components: a library of the existing MAGIC model simulations for 2438 lakes and an analogue matching rout
Objective: To assess (i) the impact of self-reported fatigue on functioning in daily life, and (ii) the association with sociodemographics, physical capacity, and work ability among people with post-COVID-19. Design: A cross-sectional study. Subjects: Adults reporting post-COVID-19 symptoms for at least 2 months. Methods: Participants were recruited through social media and responded to an online
This paper introduces P-expo, a do-it-yourself open-source software solution for enhancing online lectures. P-expo seamlessly integrates text, images, videos, webcams, and audio, with support for text-based tools like git for collaboration. Additionally, the paper introduces affordable DIY hardware components to enrich online education seminars, and presents a curated selection of accessible open-
LU-PZE is an interactive tool for illustrating fundamental concepts related to control theory, covering the relation between transfer functions, pole-zero plots, step responses, Bode plots, and Nyquist diagram. The tool gamifies education with dynamic assignments and quizzes. The tool is straightforward to use since it is web-based. https://lu-pze.github.io
Identification of preferential flow-paths, such as fractures, is required for various issues in geosciences. When chemicals are injected into the subsurface, monitoring the resulting structural and chemical changes remains a challenge. The ability of geophysical tomography to tackle this problem is not fully explored due to the lack of numerical methods suitable for modeling narrow structures. We
This study investigates the knowledge transfer from interdisciplinary research on Circular Economy (CE) to classical academic disciplines (ADs) such as Engineering, Economics, Geography, and Management. Despite the prolific publication of CE research in interdisciplinary journals, there is a notable discrepancy in its integration into traditional AD journals. Utilizing a bibliometric analysis of 2
In this work, a specially designed experimental setup is employed to study the ignition and combustion of single aluminum droplets in hot steam-dominated flows. The transient burning behaviors of Al droplets of different sizes are characterized by simultaneously visualizing the flame incandescence and droplet shadowgraphs with two high-speed cameras at high magnification. The combustion process ca
Background: Postural orthostatic tachycardia syndrome (POTS) is a prevalent cardiovascular disorder after COVID-19 infection. Although POTS is characterized by the presence of sinus tachycardia, other hemodynamic disturbances including blood pressure (BP) regulation, remain largely unexplored.Aims: We investigated BP changes using 24-hour ambulatory-BP-monitoring in patients with new-onset POTS af
Background: Immigrants from the Middle East (ME) have a higher prevalence of type 2 diabetes (T2D) compared to the native-born Swedish population. In individuals free from T2D, ME immigrants are more insulin resistant and have lower levels of adjusted insulin secretion (Disposition index, DIo) compared to Swedish-born individuals. The ethnic differences are not fully explained by traditional risk
Vaccine hesitancy (VH) is an issue for healthcare students, influenced by safety concerns and misinformation. The need for better communication training and understanding sociocultural factors in VH was highlighted in a European University Alliance seminar. Practical exercises like simulation role-playing, interprofessional collaboration, and digital literacy may improve vaccine education.
