Sökning: "node classification"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden node classification.

1. 1. Classifying femur fractures using federated learning

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Hong Zhang; [2024]
   Nyckelord :Atypical femur fracture; Federated Learning; Neural Network; Classification;

   Sammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER

3. 2. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Chayan Shrang Raj; [2023]
   Nyckelord :Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

   Sammanfattning : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. LÄS MER

4. 3. 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

5. 4. Community Detection in Directed Graphs for Cell-to-Sector Mapping Using Handover Statistics in Mobile Communication Networks

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

   Författare :David Rommedahl; [2022]
   Nyckelord :Community detection; Communications networks; Handover; Sectors; Directed graphs; Binary classification; Graph clustering; Gemenskapsdetektion; Kommunikationsnätverk; Handover; Sektorer; Riktade grafer; Binär klassification; Grafklustring;

   Sammanfattning : Many use cases in mobile communication networks are dependent on knowledge of which cells serve the same sector. These use cases include network planning, optimization and troubleshooting. Current methods of obtaining knowledge regarding this cell-to-sector mapping are based on naming conventions of cells. LÄS MER

7. 5. Accuracy evaluation of using Graph Theory metrics for functional connectivity analysis MCI classification

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Pablo Urquijo Martínez; [2022]
   Nyckelord :;

   Sammanfattning : Mild Cognitive Impairment (MCI) is an intermediate stage between the physiological cognitive deterioration due to ageing and a nonphysiological stage of dementia. MCI has morbidity between 12% and 18% of the population aged over 65 [1]. LÄS MER