Mathematics (Faculty of Engineering)
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- 2020
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Mark
Using deep learning to remove computed tomography artifacts due to hip replacement
(
- Master (Two yrs)
- 2019
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Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(
- Master (Two yrs)
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Mark
Modelling driver behaviour with Artificial Neural Networks
2019) In Bachelor's theses in Mathematical Sciences MATK11 20191(
Mathematics (Faculty of Engineering)- Bach. Degree
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Mark
Designing a deep-learning network for traffic density and volume prediction
2019) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
AI-based machine vision for retail self-checkout system
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- Master (Two yrs)
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Mark
Representation of Numbers by Decomposable Forms
2019) In Bachelor's Theses in Mathematical Sciences MATK11 20191(
Mathematics (Faculty of Engineering)- Bach. Degree
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Mark
Classification of High Risk Prostate Cancer using Deep Learning
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- Master (Two yrs)
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Mark
Smoothed Aggregation for Nonsymmetric Linear Systems
2019) In Master's Theses in Mathematical Sciences NUMM11 20191(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
An Introduction of A Data-driven Model for Analyzing Stellar Spectra
2019) In Master's Theses in Mathematical Sciences NUMM11 20191(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Polynomial Computer Algebra and implementation of Wilf-Zeilberger's method
2019) In Master's Thesis in Mathematical Sciences 2019:E65 FMAM05 20192(
Mathematics (Faculty of Engineering)- Master (Two yrs)