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- 2024
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Mark
Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
(2024) In Master’s Theses in Mathematical Sciences FMAM02 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Artificial Intelligence based tool for decision-making in urban stormwater management
- 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
Exploring UE Sensing Capabilities for Integrated Sensing and Communication
- Master (Two yrs)
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Mark
Intrusion Detection for In-Vehicle CAN Communication Using Deep Neural Networks
- Master (Two yrs)
- 2023
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Mark
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
- Prof. qual. >4 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
Self-supervised representation learning from electrocardiogram data for medical applications
(2023) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
- 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)