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- 2021
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Mark
AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach
(
- Master (Two yrs)
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Mark
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(
- Master (Two yrs)
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Mark
Existence and Approximations of Optimal Wavelets
(
- Master (Two yrs)
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Mark
Detecting Nucleated Cells in Bone Marrow Smears using Deep Learning
(
- Master (Two yrs)
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Mark
How Many Stocks Should You Buy? A Simulation Study on Portfolio Diversification for the Swedish Stock Market
(
- Master (Two yrs)
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Mark
Future Spaceborne SAR Systems based on SCORE: Intrinsic Limitations and Possible Solutions
(
- Master (Two yrs)
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Mark
DETECTION OF RELAPSING VOCAL CORD CANCER USING SIAMESE NEURAL NETWORKS
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- Master (Two yrs)
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Mark
Quantification of Fetal Volume in Magnetic Resonance Images Using Deep Learning
(
- Master (Two yrs)
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Mark
Comparing Multistep Methods Within Parametric Classes to Determine Viability in Solver Applications
2021) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Investigation of Alternative Contactless Optical Surface Reconstruction Methods
(
- Master (Two yrs)