Centre for Mathematical Sciences
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- 2021
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Mark
Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines
(
- Master (Two yrs)
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Mark
An extreme value approach to modelling number of causalities in earthquakes
(
- Bach. Degree
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Mark
Pseudospectra and the numerical solution of differential equations
2021) In Master's Theses in Mathematical Sciences NUMM03 20211(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
The derivation of first- and second-order backpropagation methods for fully-connected and convolutional neural networks
2021) In Master's Theses in Mathematical Sciences NUMM03 20211(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
(
- Master (Two yrs)
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Mark
Evaluation of Instance Segmentation Methods in the Context of Construction Waste
(
- Master (Two yrs)
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Mark
Implementation of 3 stage Lobatto IIIC into the Assimulo package
2021) In Bachelor's Theses in Mathematical Sciences NUMK11 20211(
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Bach. Degree
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Mark
Study of Generalizations of the Discrete Bak-Sneppen Model
(
- Bach. Degree
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Mark
SUPPORT VECTOR MACHINE VS. LOGISTIC REGRESSION FOR PREDICTING MORTGAGE DEFAULTS
(
- Bach. Degree
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Mark
Keystroke Classification of Motion Sensor Data - An LSTM Approach
(
- Master (Two yrs)