Essays about: "]ericsson thesis"
Showing result 16 - 20 of 568 essays containing the words ]ericsson thesis.
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16. How to measure the true end-user impact of Energy Performance features in a mobile network
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The Information and Communication Technology (ICT) industry is one of the most energy consuming industries in the world. With the increase of the number of global mobile traffic users which is growing rapidly for each year, it is more important than ever for all industries to implement energy efficient methods to decrease the greenhouse gas emissions. READ MORE
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17. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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
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18. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
University essay from Blekinge Tekniska HögskolaAbstract : 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
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19. 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)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
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20. ML enhanced interpretation of failed test result
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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