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- 2021
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Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
(
- Master (Two yrs)
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Mark
Self-supervised monocular depth estimation for dynamic scenes
(
- Master (Two yrs)
- 2020
-
Mark
The Conductivity-based Peritoneal Equilibration Test - A mathematical modeling assessment
(
- Master (Two yrs)
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Mark
Reduced Order Modelling using Dynamic Mode Decomposition and Koopman Spectral Analysis with Deep Learning
(
- Master (Two yrs)
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Mark
A Python implementation of modern Adaptive Multistep methods in the object oriented simulation tool Assimulo
2020) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
A Study of Time-Stepping Methods for Optimization in Supervised Learning
2020) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Optimizing multigrid smoothers using GLT theory
2020) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Implementation and Evaluation of Methods for Contactless Palmprint Recognition
(
- Master (Two yrs)
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Mark
Prediction of Caregiver’s Next Action in Digital Healthcare
(
- Master (Two yrs)
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Mark
A dynamical system with oscillating time average
(
- Master (Two yrs)