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- 2024
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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
Exploring UE Sensing Capabilities for Integrated Sensing and Communication
(
- 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)
- 2023
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Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(
- Master (Two 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
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
(
- Master (Two yrs)
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Mark
Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing
(
- Bach. Degree
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
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- 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)