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- 2022
-
Mark
Pose classification of people using high resolution radar indoor
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20212
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2021
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Mark
Identifying obstacles and key measurements of roof surfaces using a digital surface model and an orthomosaic
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2020
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Mark
Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network
- Master (Two yrs)
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Mark
Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market
- Master (Two yrs)
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Mark
Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
- Bach. Degree
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Mark
Machine learning methods on Swedish geological data
- Master (Two yrs)
- 2019
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Mark
Modelling driver behaviour with Artificial Neural Networks
(2019) In Bachelor's theses in Mathematical Sciences MATK11 20191
Mathematics (Faculty of Engineering)- Bach. Degree