Sökning: "datavetenskap umu"
Visar resultat 16 - 20 av 547 uppsatser innehållade orden datavetenskap umu.
16. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches
L1-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. LÄS MER
17. Towards End-User Understanding: Exploring Explanations For Profanity Detection
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Current text classification models can accurately identify instances of specific categories, such as hate speech or bad language, but they often don’t provide clear explanations to the end user for their decisions. This can lead to confusion or mistrust in the results, especially in sensitive applications where the consequences of misclassification can be significant. LÄS MER
18. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. LÄS MER
19. Unleashing the Power of AI Mobile Robots: A Journey into CognitiveLoad, Multimodal Signalling, and Trust in Multi-Robot Team
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This Master's thesis examines the impact of multimodal signalling on cognitive load, trust, and usability in multi-robot teams using a within-subjects design. The study investigates whether feedback through multimodal signalling effectively conveys trust and minimises cognitive load for operators. LÄS MER
20. Emphysema Classification via Deep Learning
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER