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- 2022
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Mark
Modeling rush hour vehicular traffic using a machine learning approach
(2022) In Master's Theses in Mathematical Sciences NUMM11 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Optimization algorithms underlying neural networks: Classification of meditative states by use of recurrent neural networks
(2022) In Bachelor's Theses in Mathematical Sciences MATK11 20212
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Bach. Degree
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Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(2022) In Master's Thesis in Mathematical Sciences FMAM05 20222
Mathematics (Faculty of Engineering)- Master (Two yrs)
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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)
- 2021
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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)
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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)
- 2020
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Mark
Machine learning methods on Swedish geological data
- 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
Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network
- Master (Two yrs)