71 – 80 of 141
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2021
-
Mark
Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
- Master (Two yrs)
-
Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Evaluation of Real-Time Single-Object Tracking Algorithms in a Non-Stationary Robotic Agent
- Master (Two yrs)
-
Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
- Master (Two yrs)
-
Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
- Master (Two yrs)
-
Mark
Using Machine Learning to Detect Grapevine Disease in Wine Production
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2020
-
Mark
Analysing pedestrian movement with the Flowity software
- Bach. Degree
-
Mark
Automated bone segmentation in computed tomography using deep learning with distance maps
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)