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- 2023
-
Mark
Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
(
- Master (Two yrs)
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Mark
Individual Layer Scaling and Redundancy Reduction of Singleshot Multiplane Images for View Synthesis
(
- Master (Two yrs)
-
Mark
Fingerprint Synthesis Using Deep Generative Models
(
- Master (Two yrs)
-
Mark
Estimation of respiratory frequency from Heart Rate Variability
(
- Master (Two yrs)
-
Mark
Improving Missing Data Imputation using Generative Adversarial Network-based Methods
(
- Master (Two yrs)
-
Mark
Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors
(
- Master (Two yrs)
-
Mark
HRTF-Based Sound Field Interpolation in the Presence of a Human Head
(
- Master (Two yrs)
-
Mark
An Artificial Neural Network Approach to Algorithmic Trading
(
- Master (Two yrs)
-
Mark
Diffusion-based Vocoding for Real-Time Text-To-Speech
(
- Master (Two yrs)
-
Mark
Arbitrary motion Synthetic Aperture Radar
(
- Master (Two yrs)
-
Mark
Improving Image Stabilization in Modern Surveillance Cameras
(
- Master (Two yrs)
-
Mark
Axisymmetric capillary water waves on cylindrical fluid jets
2023) In Master’s Theses in Mathematical Sciences MATM03 20231(
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Implementation and study of boundary integral operators related to PDE:s in the plane
(
- Master (Two yrs)
-
Mark
Wind Turbine Recovery Forecasting using Survival Analysis
(
- Master (Two yrs)
-
Mark
Feature Selection on the Nord Pool power market
(
- Master (Two yrs)