Essays about: "ericsson learning"

Showing result 6 - 10 of 109 essays containing the words ericsson learning.

1. 6. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Wenhao Zhu; [2023]
   Keywords : ;

   Abstract : This thesis presents two predictive models with the aim of pre-allocating memory efficiently in the Ericsson Radio Frequency Propagation Simulation System through the prediction model, so as to achieve the effect of load balancing. The proposed approaches utilize interpolation and the Gradient Boosting Decision Tree (GBDT) method from machine learning for prediction and  apply both methods in multiple test scenarios. READ MORE

3. 7. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

   University essay from Blekinge Tekniska Högskola

   Author : Simron Padhi; Devi Priya Battina; [2023]
   Keywords : Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

   Abstract : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. READ MORE

4. 8. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

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

   Author : Andreas Ericsson; [2023]
   Keywords : Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

   Abstract : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. READ MORE

5. 9. ML enhanced interpretation of failed test result

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

   Author : Hiranmayi Pechetti; [2023]
   Keywords : Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

   Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE

6. 10. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Adam Hjalmarsson; Leon Ericsson; [2023]
   Keywords : 4D Flow MRI; Ensemble learning; Super-resolution; Machine learning; Neural networks; 4DFlowNet;

   Abstract : 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone analysis method, 4D Flow MRI has certain limitations including limited spatial resolution and noise artefacts, motivating the application of dedicated post-processing tools. READ MORE