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- 2025
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Mark
Can machine learning be used to accurately forecast intraday index returns using candlestick data?
- Master (One yr)
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Mark
Deep learning model ensemble for remote sensing land use classification
- Master (Two yrs)
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Mark
Assessment of Movement Quality with Deep Learning for Identifying Postural Orientation Errors
- Master (Two yrs)
- 2024
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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
Optimizing Metal Cutting Empirical tests & AI-enhanced tool wear detection
- Master (Two yrs)
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Mark
Application of deep learning based methodology for the optimisation of monolayer classification and white blood cell localisation in avian blood samples
- Master (Two yrs)
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Mark
Real-Time Product Label Classification in a Manufacturing Environment
- Master (One yr)
- 2023
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Mark
Particle Detection in Bone Marrow Using CNNs and Transformer Networks
(2023) In Master's Theses in Mathematical Sciences FMAM05 20231
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
- Master (Two yrs)
- 2022
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Mark
Modeling rush hour vehicular traffic using a machine learning approach
(2022) In Master's Theses in Mathematical Sciences NUMM11 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)