Centre for Mathematical Sciences
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- 2020
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Mark
Prediction of Caregiver’s Next Action in Digital Healthcare
(
- Master (Two yrs)
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Mark
Column screening for the separation of lignin-related phenolic compounds in lignosulfonate lignin using ultra-high-performance supercritical fluid chromatography
(
- Bach. Degree
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Mark
Automated bone segmentation in computed tomography using deep learning with distance maps
(
- Master (Two yrs)
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Mark
The biodegradable straw - Investigating how enzymes can be used to enhance desired product qualities of drinking devices.
(
- Master (Two yrs)
-
Mark
The anti-amyloidogenic chaperone DNAJB6 and its interaction with other chaperones
(
- Bach. Degree
-
Mark
Patient-Specific 3D Printed Guides for Corrective Osteotomies of Malunited Radius
(
- Master (Two yrs)
-
Mark
Detecting Deepfakes and Forged Videos Using Deep Learning
(
- Master (Two yrs)
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Mark
ERA: Evolution of Residual Architectures
(
- Master (Two yrs)
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Mark
Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data
(
- Master (Two yrs)
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Mark
Conditions for Univariate SAGBI Bases
2020) In Bachelor's Theses in Mathematical Sciences MATK11 20201(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)- Bach. Degree