Essays about: "Graph Neural Network"

Showing result 21 - 25 of 93 essays containing the words Graph Neural Network.

1. 21. Time synchronization error detection in a radio access network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Moulika Madana; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

3. 22. CONNECTING THE DOTS : Exploring gene contexts through knowledge-graph representations of gene-information derived from scientific literature

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Henrietta Hellberg; [2023]
   Keywords : Knowledge graph construction; Information extraction; Knowledge Graphs; Next-Generation Sequencing; Gene contextualization; Kunskapsgrafkonstruktion; Informationsextraktion; Kunskapsgrafer; Next-Generation Sequencing; Kontextualisering av gener;

   Abstract : Analyzing the data produced by next-generation sequencing technologies relies on access to information synthesized based on previous research findings. The volume of data available in the literature is growing rapidly, and it is becoming increasingly necessary for researchers to use AI or other statistics-based approaches in the analysis of their datasets. READ MORE

4. 23. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dimitrios Koutlis; [2023]
   Keywords : Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

   Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE

5. 24. Graph Attention Networks for Link Prediction in Semantic Word Grouping

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Anton Gollbo; [2023]
   Keywords : ;

   Abstract : Manually extracting relevant information from extensive amounts of data can betime-consuming and labour-intensive. Automating this process can allow for a shift of focus toward analysis and utilization of the extracted information, rather than allocating time and resources to data collection and preparation. READ MORE

6. 25. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

   University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Author : Jacob Lindahl; [2023]
   Keywords : LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

   Abstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE