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Visar resultat 1 - 5 av 67 uppsatser som matchar ovanstående sökkriterier.

1. 1. 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

3. 2. A geometric approach to calculating the limit set of eigenvalues for banded Toeplitz matrices

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Teodor Bucht; [2023]
   Nyckelord :Toeplitz matrices; Banded Toeplitz matrices; Limit set; Eigenvalues; Mathematics and Statistics;

   Sammanfattning : This thesis is about the limiting eigenvalue distribution of n × n Toeplitz matrices as n → ∞. The two classical questions we want to answer are: what is the limit set of the eigenvalues, and what is the limiting distribution of the eigenvalues. Our main result is a new approach to calculate the limit set Λ(b) for a Laurent polynomial b, i.e. LÄS MER

4. 3. A Petrographic and Paragenetic Characterization of the Ertelien Ni-Cu Deposit (Norway)

   Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Alena Niarezka; [2023]
   Nyckelord :Ertelien Ni-Cu deposit; ore geology; enrichment processes; nickel; cobalt; copper; optical microscopy; electron probe micro-analysis; critical metals; Ertelien Ni-Cu fyndighet; malmgeologi; anrikningsprocesser; nickel; kobolt; koppar; optisk mikroskopi; elektronsondsmikroanalys; kritiska metaller;

   Sammanfattning : The escalating demand for metals driven by advancements in renewable energy technologies and hightech products has underscored the significance of understanding and characterizing ore deposits. This study focuses on the Ertelien Ni-Cu deposit in Norway, a region rich in nickel, cobalt, and copper resources—essential components for the transition to a sustainable energy future. LÄS MER

5. 4. Automatic icon placement approach for improved association & walkability on city wayfinding maps

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Sofia Apostolidou; [2023]
   Nyckelord :Physical Geography; Ecosystem Analysis; Cartography; Icon placement; High density; City wayfinding maps; Quality metrics; Association; Disturbance; Legibility; Cartographic guidelines; Grid algorithm; Evaluation; Multi-objective optimization; NSGA-II; Pareto front; Walkability; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. LÄS MER

7. 5. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

   Författare :Sofia Färenmark; [2023]
   Nyckelord :Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

   Sammanfattning : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. LÄS MER