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- 2023
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Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(2023) In Master's Theses in Mathematical Sciences FMAM05 20231
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
- Master (Two yrs)
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Mark
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
- Prof. qual. >4 yrs
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Mark
Urban tree canopy mapping -an open source deep learning approach
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(2023) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
- Master (Two yrs)
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Mark
Predicting Protein Stability with Machine Learning
- Prof. qual. >4 yrs
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Mark
Classification of IKEA home furnishing items into design style groups using deep learning methods
- Master (One yr)
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Mark
Personalized Investment Recommendations Using Recommendation Systems
- Master (One yr)
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Mark
Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
- Master (Two yrs)