Sökning: "information evaluation"
Visar resultat 11 - 15 av 3240 uppsatser innehållade orden information evaluation.
11. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER
12. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers
Master-uppsats, SLU/Dept. of Animal Nutrition and ManagementSammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER
13. Kvinnors upplevelser av att få besked ombröstcancerdiagnos : En litteraturstudie
Kandidat-uppsats, Malmö universitet/Institutionen för vårdvetenskap (VV)Sammanfattning : Bakgrund: Bröstcancer är den vanligaste cancerdiagnosen bland kvinnor, både i Sverige och internationellt. Vanligtvis upptäcks bröstcancern av kvinnan själv eller genom mammografiscreening. Bröstcancer är ett relevant ämne för den grundutbildade sjuksköterska, därför att omvårdnad är sjuksköterskans ansvarsområde. LÄS MER
14. Virtual H&E Staining Using PLS Microscopy and Neural Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER
15. Despeckling Echocardiograms Using Generative Adversarial Networks
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER