Sökning: "examensarbete algoritmer"

Visar resultat 21 - 25 av 174 uppsatser innehållade orden examensarbete algoritmer.

1. 21. Depth of field post-processing using neural networks

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Otto Holmström; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : It is possible to create images from a computer model closely resembling those taken with a physical camera. To improve the photo-realism and perceived quality of a rendered image, it is often desireable to add realistic effects that do not appear in computer graphics due to the camera model. LÄS MER

3. 22. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models

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

   Författare :Rikard Fridsén Skogsberg; [2022]
   Nyckelord :Multi-Objective Reinforcement Learning; Radio Resource Scheduling; Deep Q-Networks; Single-policy; Multi-policy; Scalarization.; Flermåls förstärkningsinlärning; Radio resurs schemaläggning; Djupa Q-nätverk; Enskilt mål; Flermål;

   Sammanfattning : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. LÄS MER

4. 23. High-Performance Beamforming for Radar Technology : A Comparative Study of GPU Beamforming Algorithms

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

   Författare :Oscar Lindgren; [2022]
   Nyckelord :Accelerated signal processing software; Beamforming; Electronic warfare; Electromagnetic waves; Emitter identification; Radar technology; Accelererad signalbehandlingsmjukvara; Beamforming; Elektronisk krigsföring; Elektromagnetiska vågor; Sändaridentifikation; Radarteknologi;

   Sammanfattning : Radar technology is widely used in today´s society, whether it is the localisation and identification of aircraft in air traffic control systems, ships in harbour management systems, or the weather forecast presented on the news. In military applications, such as in fighter jets or missile lock-on systems, the speed at which the radar processes incoming data is essential to ensure a successful outcome. LÄS MER

5. 24. Reinforcement Learning for Market Making

   Master-uppsats, KTH/Matematisk statistik

   Författare :Simon Carlsson; August Regnell; [2022]
   Nyckelord :Reinforcement learning; Market making; Deep reinforcement learning; Limit order book; Algorithmic trading; High-frequency trading; Machine learning; Artificial intelligence; Q-learning; DDQN; Förstärkningsinlärning; Market making; Djup förstärkningsinlärning; Limitorderbok; Algoritmisk handel; Högfrekvenshandel; Maskininlärning; Artificiell intelligens; Q-learning; DDQN;

   Sammanfattning : Market making – the process of simultaneously and continuously providing buy and sell prices in a financial asset – is rather complicated to optimize. Applying reinforcement learning (RL) to infer optimal market making strategies is a relatively uncharted and novel research area. LÄS MER

7. 25. Path and Route Planning for Indoor Monitoring with UAV : An Evaluation of Algorithms for Time-constrained Path and Route Planning in an Indoor Environment with Several Waypoints and Limited Battery Time

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

   Författare :Ola Johansson; [2022]
   Nyckelord :UAV; path planning; route planning; drone; combinatorial optimization; Ruttplanering; banplanering; vägplanering drönare; kombinatorisk optimisering;

   Sammanfattning : Unmanned flying vehicles (UAVs) are tools that can be used in a variety of scenarios. The most common areas of application are outdoors, where there are not many obstacles to take into consideration when planning a route. LÄS MER