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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
Potential of using Machine learning Technology to predict site location of Burial Sites in the Åland Islands.
- Master (Two yrs)
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Mark
Ball Tracking in Association Football - Leveraging Player Detections to Locate the Ball Using Graph Attention Networks
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Utilizing AI to enhance monitoring of fishing activities via cooperative and non-cooperative methods
- Master (Two yrs)
-
Mark
The Relationship Between ESG Performance and Innovation: Machine Learning Prediction and Quantitative Analysis
- Master (One yr)
-
Mark
Smoothing techniques for 3D animated human pose estimation data
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Enhancing the resolution of brain MRIs using deep learning.
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Electricity price forecast modelling of the Swedish FCR-D down market
- Prof. qual. >4 yrs
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
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Mark
Predicting Prices of Tech Stocks using the Transformer
- Bach. Degree