Sökning: "Cost Predictions."

Visar resultat 16 - 20 av 167 uppsatser innehållade orden Cost Predictions..

1. 16. Semi-Automatic ImageAnnotation Tool

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Miranda Alvenkrona; Tilda Hylander; [2023]
   Nyckelord :annotation; machine learning; annotation tool; image annotation; object detection; selective annotation; re-training;

   Sammanfattning : Annotation is essential in machine learning. Building an accurate object detec-tion model requires a large, diverse dataset, which poses challenges due to thetime-consuming nature of manual annotation. This thesis was made in collabora-tion with Project Ngulia, which aims at developing technical solutions to protectand monitor wild animals. LÄS MER

3. 17. Reducing Power Consumption For Signal Computation in Radio Access Networks : Optimization With Linear Programming and Graph Attention Networks

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Martin Nordberg; [2023]
   Nyckelord :Cloud RAN; Constrained optimization; Mixed integer linear programming; MILP; Machine learning; Graph neural network; Graph attention network; GAT;

   Sammanfattning : There is an ever-increasing usage of mobile data with global traffic having reached 115 exabytes per month at the end of 2022 for mobile data traffic including fixed wireless access. This is projected to grow up to 453 exabytes at the end of 2028, according to Ericssons 2022 mobile data traffic outlook report. LÄS MER

4. 18. Improving Missing Data Imputation using Generative Adversarial Network-based Methods

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Hanna Anderberg; Sofia Wadell; [2023]
   Nyckelord :Missing Values; Data Imputation; Generative Adversarial Network; GAIN; CTGAN; Mathematics and Statistics;

   Sammanfattning : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. LÄS MER

5. 19. Investigating the Estimation of the infection rate and the fraction of infections leading to death in epidemiological simulation

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Jakob Gölén; [2023]
   Nyckelord :Epidemics; Compartmental Models; Parameter Inference; Synthetic Bootstrap; Infection Rate;

   Sammanfattning : The main goal of this project is to investigate the behaviors of parameters used when modeling an epidemic. A stochastic SIHDRe model is used to simulate how an epidemic evolves over time. LÄS MER

7. 20. The Applicability and Scalability of Graph Neural Networks on Combinatorial Optimization

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Peder Hårderup; [2023]
   Nyckelord :applied mathematics; combinatorial optimization; machine learning; graph neural networks; scalability; tillämpad matematik; kombinatorisk optimering; maskininlärning; grafiska neurala nätverk; skalbarhet;

   Sammanfattning : This master's thesis investigates the application of Graph Neural Networks (GNNs) to address scalability challenges in combinatorial optimization, with a primary focus on the minimum Total Dominating set Problem (TDP) and additionally the related Carrier Scheduling Problem (CSP) in networks of Internet of Things. The research identifies the NP-hard nature of these problems as a fundamental challenge and addresses how to improve predictions on input graphs of sizes much larger than seen during training phase. LÄS MER