Sökning: "Graf nätverk"

Visar resultat 1 - 5 av 38 uppsatser innehållade orden Graf nätverk.

1. 1. Graph Neural Networks for Events Detection in Football

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

   Författare :Giovanni Castellano; [2023]
   Nyckelord :Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

   Sammanfattning : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. LÄS MER

3. 2. Link Prediction Using Learnable Topology Augmentation

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Tori Leatherman; [2023]
   Nyckelord :Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

   Sammanfattning : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. LÄS MER

4. 3. Reducing Power Consumption For Signal Computation in Radio Access Networks : Optimization With Linear Programming and Graph Attention Networks

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Martin Nordberg; [2023]
   Nyckelord :Cloud RAN; Constrained optimization; Mixed integer linear programming; MILP; Machine learning; Graph neural network; Graph attention network; GAT;

   Sammanfattning : There is an ever-increasing usage of mobile data with global traffic having reached 115 exabytes per month at the end of 2022 for mobile data traffic including fixed wireless access. This is projected to grow up to 453 exabytes at the end of 2028, according to Ericssons 2022 mobile data traffic outlook report. LÄS MER

5. 4. Time synchronization error detection in a radio access network

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

   Författare :Moulika Madana; [2023]
   Nyckelord :GNSS - Global Navigation Satellite System; OAS - Over-the air-synchronization; PRTC - primary reference time clock; PTP - precision time protocol; Gauss Jordan elimination; GNN- Graph Neural Network; GNSS -Globalt navigationssatellitsystem; OAS - Över-the-air tidssynkronisering; PRTC - Primär referenstidklocka; PTP - Precisionstidprotokoll; Gauss Jordan eliminering; GNN- Graf neurala nätverk;

   Sammanfattning : Time synchronization is a process of ensuring all the time difference between the clocks of network components(like base stations, boundary clocks, grandmasters, etc.) in the mobile network is zero or negligible. It is one of the important factors responsible for ensuring effective communication between two user-equipments in a mobile network. LÄS MER

7. 5. Imitation Learning on Branching Strategies for Branch and Bound Problems

   Master-uppsats, KTH/Matematisk statistik

   Författare :Magnus Axén; [2023]
   Nyckelord :Graph Networks; Convolutions; MIP; Branch and Bound; Facility Location Problem; MDP; Imitation Learning; Graf nätverk; Faltning; Blandade heltaltsproblem; Branch and Bound; Facility Location Problem; Markov; Imitationsinlärning;

   Sammanfattning : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. LÄS MER