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
(
- Master (Two yrs)
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Mark
A method for extracting delamination zones and deformation quantities of paperboard during folding
(
- Master (Two yrs)
-
Mark
Adaptation and variability of Aedes aegypti in relation to food in the southernmost fringe of its distribution - An interdisciplinary approach
(
- Master (Two yrs)
-
Mark
Smoothed Aggregation for Nonsymmetric Linear Systems
2019) In Master's Theses in Mathematical Sciences NUMM11 20191(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
An Introduction of A Data-driven Model for Analyzing Stellar Spectra
2019) In Master's Theses in Mathematical Sciences NUMM11 20191(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Segmentation of White Blood Cells Using Deep Learning
(
- Master (Two yrs)
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Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(
- Master (Two yrs)
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Mark
Modelling driver behaviour with Artificial Neural Networks
2019) In Bachelor's theses in Mathematical Sciences MATK11 20191(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Designing a deep-learning network for traffic density and volume prediction
2019) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
- 2018
-
Mark
On the Fourier Collocation Method
2018) In Bachelor's Theses in Mathematical Sciences NUMK01 20181(
Mathematics (Faculty of Engineering)- Bach. Degree