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- 2021
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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
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Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
- Master (Two yrs)
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Mark
Using Opaque AI for Smart Grids
- Bach. Degree
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Mark
A Novel Perceptual Metric in Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- 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
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
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)
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Mark
Deep Learning Approach to Material Properties
- Bach. Degree