Sökning: "network simulator"

Visar resultat 1 - 5 av 275 uppsatser innehållade orden network simulator.

1. 1. 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

3. 2. Approaches and Techniques to Assess the Accuracy of Network Emulators

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Alice Ekblad; Anna Höglund; [2023]
   Nyckelord :network emulator; mobile networks; testing;

   Sammanfattning : As the mobile communication world expands in size and complexity, the need for testing the solutions in a controlled environment before deployment is as pronounced as ever. Simultaneously, new tools and products are developed to optimize the process and reduce costs. LÄS MER

4. 3. Simulating metal ct artefacts for ground truth generation in deep learning.

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Arthur Barakat; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

5. 4. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiaming Huang; [2023]
   Nyckelord :;

   Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER

7. 5. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Zhenyu Li; [2023]
   Nyckelord :mmWave Communication; Reconfigurable Intelligent Surface; Ray Tracing; Indoor Dense Spaces;

   Sammanfattning : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. LÄS MER