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- 2024
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Mark
Comparing Machine Learning Models for Predicting Lung Cancer Mortality Rates
(
- Bach. Degree
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Mark
The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.
(
- Master (One yr)
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Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
2024) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
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- Master (Two yrs)
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Mark
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
(
- Bach. Degree
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Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
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- Master (Two yrs)
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Mark
Video Object Detection for Maritime Navigation
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- Master (Two yrs)
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Mark
Application of deep learning based methodology for the optimisation of monolayer classification and white blood cell localisation in avian blood samples
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- Master (Two yrs)
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Mark
Estimating lake water volume fluctuations using Sentinel-2 and ICESat-2 remote sensing data
2024) In Master Thesis in Geographical Information Science GISM01 20241(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Comparative Analysis of Econometric and Machine Learning Approaches for Forecasting Bitcoin Return Volatility
(
- Master (One yr)