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- 2019
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Mark
Deep Learning techniques for classification of data with missing values
- Master (One yr)
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Mark
DSP Design With Hardware Accelerator For Convolutional Neural Networks
- Master (Two yrs)
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Mark
Identification of Neutrons Using Digitized Waveforms
- Master (Two yrs)
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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)
- 2018
-
Mark
Application of convolutional neural networks for fingerprint recognition
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Automatic Gleason Classification of Prostate Cancer - Classification of Small Regions
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Exploring capsule network
(2018) FYTK02 20181
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
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Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
- Prof. qual. >4 yrs
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Mark
Vehicle Counting using Video Metadata
- Prof. qual. >4 yrs
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Mark
Audio representation for environmental sound classification using convolutional neural networks
(2018) In Master's Theses in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)