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Visar resultat 1 - 5 av 894 uppsatser som matchar ovanstående sökkriterier.
1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER
2. 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
3. Elite Athletes’ Travel Behaviour to/from Sport Events : A Case Study of Biathlon
Master-uppsats, Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turismSammanfattning : This thesis analyses how elite athletes travel to/from sport events and which barriers prevent them from engaging in a more sustainable travel behaviour. For this purpose, unstructured interviews with elite athletes were conducted to gain an in-depth understanding about travel experiences and decision-making from elite athletes’ perspective. LÄS MER
4. Aerodynamics simulations of Scania trucks using OpenFOAM
Master-uppsats, KTH/Teknisk mekanikSammanfattning : In the field of heavy-duty vehicles, fuel efficiency and environmental protection are factors that need to be focused on, while the aerodynamic drag generated during vehicle travelling is one of the most influential aspects. This thesis delves into the aerodynamic simulation of Scania trucks using the open-source Computational Fluid Dynamics (CFD) tool, OpenFOAM v2206. LÄS MER
5. Audio Anomaly Detection in Cars
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER