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- 2024
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Mark
Investigating Object Detection and Semantic Segmentation Using Preprocessed Radar Data
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Video Object Detection for Maritime Navigation
(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
Active Learning Techniques for Annotation Efficiency in Detecting Coffee Berry Disease
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Early detection of bark beetle attacks: Integrating Segment Anything Model (SAM) zero-shot segmentation and spectral indices for tree health assessment
- Master (Two yrs)
- 2023
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Mark
MISK-Moves
- Bach. Degree
- 2022
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Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
- Master (Two yrs)
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Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
- Master (Two yrs)
- 2021
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Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
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Mark
AI-based machine vision for retail self-checkout system
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)