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- 2022
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Mark
A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
- Master (Two yrs)
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Mark
Federated Learning in Autonomous Vehicles Setting- GDPR perspective
- Master (Two yrs)
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Mark
Predict Saving Behavior - Artificial Neural Network & Machine Learning
- Master (Two yrs)
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Mark
Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
- Master (Two yrs)
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Mark
Machine learning framework for maxillofacial preoperative planning
- Bach. Degree
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Mark
Impact of model architecture and data distribution on self-supervised federated learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Autoencoder outlier detection during the Covid-19 vaccination campaign
(2022) FYTM03 20221
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Master (Two yrs)
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Mark
Estimating the risk of insurance fraud based on tonal analysis
- Master (Two yrs)
- 2021
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Mark
Index prediction on the Swedish stock market using natural language processing methods on Swedish news
- Master (Two yrs)
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Mark
Speaker Recognition using Biology-Inspired Feature Extraction
- Master (Two yrs)