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- 2024
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Mark
Advancing 3D Scene Reconstruction: Techniques, Pipelines, and Applications
- Master (Two yrs)
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Mark
Crop yield predictions using sequential UAV imagery and deep learning
- Master (Two yrs)
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Mark
Expanding an adaptive learning-rate algorithm to handle mini-batch training
- Bach. Degree
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Mark
Machine Learning-based Multimodal Data Compression
- Master (Two yrs)
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
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Mark
Utilizing AI to enhance monitoring of fishing activities via cooperative and non-cooperative methods
- Master (Two yrs)
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Mark
Enhancing the resolution of brain MRIs using deep learning.
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Inferring lane-level topology of signalised intersections from aerial imagery and OpenStreetMap using deep learning
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Virtual H&E Staining Using PLS Microscopy and Neural Networks
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Multivariate time series classification in time-sensitive environments using deep learning
(2024) In Master's Theses in Mathematical Sciences FMAM05 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)