Sökning: "learning evaluation"

Visar resultat 1 - 5 av 1430 uppsatser innehållade orden learning evaluation.

1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
   Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

   Sammanfattning : 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

3. 2. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

4. 3. Digitaliseringens påverkan på lärare och elever – en kunskapsöversikt

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för samhälle, kultur och identitet (SKI)

   Författare :Elsa Håkansson Wickander; Ellen Lysgren; [2024]
   Nyckelord :Critical thinking; Media and information literacy; Social science; Technological pedagogical content knowledge TPACK ; Web literacy; Kritiskt tänkande; Medie- och informationskunnighet; Samhällskunskap; Teknisk pedagogisk innehållskunskap TPACK ; Webbkunnighet;

   Sammanfattning : The following essay has the purpose of giving an account of how the increasing digitalization, medialization and flow of information has affected social science as a subject, and how this has changed the expectations put on students and teachers. Furthermore, the way teachers’ TPACK knowledge and web literacy skills affect their teaching is also examined. LÄS MER

5. 4. Hur användandet av samtal och diskussion påverkar mellanstadieelevers förståelse för matematik

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för naturvetenskap, matematik och samhälle (NMS)

   Författare :Rasmus Schultz; Lukas Scherp; [2024]
   Nyckelord :conversation; discussion; interaction; leading classroom discussions; learning Strategies; mathematics; mathematics teaching; mathematical concept; middle school; using conversation; vocabulary;

   Sammanfattning : This research overview is an evaluation of knowledge and explores the impact of language linked to mathematics. This particularly in the context of conversations and discussions, on the mathematical understanding of students in the ages between ten to twelve years old. LÄS MER

7. 5. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Jonas Wedén; [2024]
   Nyckelord :Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

   Sammanfattning : 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