Centre for Mathematical Sciences
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- 2019
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Mark
Assessment of machine learning methods for the classification and weight estimation of meals
(
- Master (Two yrs)
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Mark
LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
(
- Master (Two yrs)
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Mark
A method for extracting delamination zones and deformation quantities of paperboard during folding
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- Master (Two yrs)
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Mark
Adaptation and variability of Aedes aegypti in relation to food in the southernmost fringe of its distribution - An interdisciplinary approach
(
- Master (Two yrs)
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Mark
On the statistics and practical application of the reassignment method for Gabor spectrograms
(
- Master (Two yrs)
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Mark
Maximum likelihood estimation of a monotone probability mass function with unknown labels
(
- Master (Two yrs)
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Mark
Convolutional Neural Network Emulators for DGVMs - A Supervised Machine Learning Approach to Big Data Processing
(
- Bach. Degree
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Mark
An introduction to some ordinary differential equations governing stellar structures
(
- Bach. Degree
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Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(
- Master (Two yrs)
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Mark
How Capital Requirements Affects Swedish Pension Payments
(
- Master (Two yrs)