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- 2021
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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)
- 2020
-
Mark
Using Opaque AI for Smart Grids
- Bach. Degree
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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)
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Mark
Detecting Deepfakes and Forged Videos Using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Cost-Optimized Event Detection in Football Video
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
- Master (Two yrs)
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Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
- Master (Two yrs)
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Mark
Investigating the Use of Machine Learning to Detect Unilateral Arm Weakness
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Analysing pedestrian movement with the Flowity software
- Bach. Degree
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Mark
Deep Learning Approach to Material Properties
- Bach. Degree