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- 2024
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Mark
Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
- Master (Two yrs)
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Mark
Dynamic Feature Grouping in Anomaly Detection
- Master (Two yrs)
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
-
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
Portfolio Optimization using Deep Reinforcement Learning models
- Master (Two yrs)
-
Mark
A Speech Signal Processing Approach for Early Detection of Parkinson's Disease
- Bach. Degree
-
Mark
Predicting Blood Stream Infections with Tabular Data from Swedish Electronic Health Records
(2024) In Master's Theses in Mathematical Sciences FMAM05 20242
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Global Cell-ID Positioning Using Artificial Neural Networks
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Uncovering Underlying Determinants of Bank Revenue
- Master (One yr)
-
Mark
Predicting customer churn rate with machine learning, for use in customer lifetime value calculations in the telecommunications industry
- Master (Two yrs)