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- 2023
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
- Master (Two yrs)
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Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
- Master (Two yrs)
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Mark
Urban tree canopy mapping -an open source deep learning approach
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Investigating the Reciprocal Relationship between News and Parliament: A Study of Strikes in the UK Using Deep-learning Sentiment Analysis and Vector Autoregression
- Master (Two yrs)
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Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
(2023) In Master's Theses in Mathematical Sciences FMAM05 20231
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Fog detection using an artificial neural network
- Master (Two yrs)
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Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(2023) In Master's Theses in Mathematical Sciences FMAM05 20231
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2022
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Mark
Investigating Machine Learning for verification of AMBA APB protocol.
- Master (Two yrs)
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Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20212
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20212
Mathematics (Faculty of Engineering)- Master (Two yrs)