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- 2024
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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
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)
- 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
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
Pre-classification of Hairy Cells Using Supervised Contrastive Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Exploring improvements of wind power forecasts using Convolutional Neural Networks and Time Series Analysis
- Master (Two yrs)
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Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)