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- 2020
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Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
- Master (Two yrs)
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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)
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Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
- 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
Implementation of a Deep Learning Inference Accelerator on the FPGA.
- Master (Two yrs)
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Mark
Blood Cell Data Augmentation using Deep Learning Methods
(2020) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Semi-Supervised Medical Image Segmentation with Equivariance Regularization
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
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Mark
Classification of High Risk Prostate Cancer using Deep Learning
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Latent Space Growing of Generative Adversarial Networks
(2019) In Master's Thesis in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)