Mathematics (Faculty of Engineering)
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- 2019
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Mark
LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
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- 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
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- Master (Two yrs)
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Mark
Basal body temperature curves and fitting with periodic smoothing splines
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- Master (Two yrs)
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Mark
On the divergence of the Rogers--Ramanujan continued fraction on the Salem points
2019) In Master's Theses in Mathematical Sciences MATM01 20182(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)- Master (Two yrs)
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Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
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- Master (Two yrs)
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Mark
Future Frame Prediction with Generative Adversarial Networks
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- Master (Two yrs)
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Mark
Transfer Learning in Autonomous Vehicles using Convolutional Networks
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- Master (Two yrs)
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Mark
Pedestrian Evacuation Modelled by a Conservation Law with a Two-inflection-point Flux Function
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- Master (Two yrs)
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Mark
Evaluation of Parking Space Detection From Aerial Imagery Using Convolutional Neural Networks
(
- Master (Two yrs)