Search results

The bachelor’s thesis explores end-customers’ perceptions regarding the differences between AI-based and human customer service, and the interaction factors that influence their experi-ences. With a focus on customer satisfaction and perceived problem-solving, the study aims at providing recommendations for the development and design of AI chatbots to better meet customer expectations and satisfac

This thesis addresses drinking water quality and microbiology in full-scale drinking water distribution systems (DWDSs). It examines how UV irradiation and slow sand filters (SSFs) alter the water bacteriome, and how the biofilm in the DWDS affects the drinking water quality.In addition, the effects of installing a combined ultra­filtration and coagulation treatment stage on the pipe biofilm com­m

Recent progress on deep learning (DL)-based medical image segmentation can enable fast extraction of clinical parameters for efficient clinical workflows. However, current DL methods can still fail and require manual visual inspection of outputs, which is time-consuming and diminishes the advantages of automation. For clinical applications, it is essential to develop DL approaches that can not onl

Traditionally, when process identification, monitoring and diagnostics are carried out for power plants and engines, physical modeling such as heat and mass balances, gas path analysis, etc. is utilized to keep track of the process. This type of modeling both requires and provides considerable knowledge of the process. However, if high accuracy of the model is required, this is achieved at the exp

Access to metabolic information in vivo using magnetic resonance (MR) technologies has generally been the niche of MR spectroscopy (MRS) and spectroscopic imaging (MRSI). Metabolic fluxes can be studied using the infusion of substrates labeled with magnetic isotopes, with the use of hyperpolarization especially powerful. Unfortunately, these promising methods are not yet accepted clinically, where

Background: Although previous studies have examined the impact of slice position in volumetric measurements in Cardiovascular Magnetic Resonance (CMR) imaging, very limited data are available today comparing T1 and Extra-Cellular Volume (ECV) measurements from short and long axis acquisitions. The purpose of this study was to investigate the impact of slice position and orientation on T1 and ECV m

Purpose: Volumetry of cerebral ventricles is a far more sensitive measure for shunt-induced reduction of ventricular size than traditional 2-dimensional (2D) measures, such as Evans index. However, available ventricle segmentation methods are time-consuming, resulting in limited use in clinical practice. Quantitative MRI (qMRI) obtains objective measurements of physical tissue properties, enabling