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- 2023
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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
Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
- Master (Two 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
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)
-
Mark
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
- Prof. qual. >4 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)
- 2022
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Mark
Radar Detection Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM02 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Autoencoder outlier detection during the Covid-19 vaccination campaign
(2022) FYTM03 20221
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Master (Two yrs)