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- 2024
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- 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
Virtual H&E Staining Using PLS Microscopy and Neural Networks
(
- Master (Two yrs)
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Mark
Multivariate time series classification in time-sensitive environments using deep learning
(
- Master (Two yrs)
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Mark
Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
(
- Master (Two yrs)
- 2023
-
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
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
(
- Prof. qual. >4 yrs
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Mark
Classification of IKEA home furnishing items into design style groups using deep learning methods
(
- Master (One yr)
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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)
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Mark
Personalized Investment Recommendations Using Recommendation Systems
(
- Master (One yr)
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Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(
- Master (Two yrs)
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Mark
Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
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- Master (Two yrs)
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Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
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- Master (Two yrs)
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Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
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Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(
- Master (Two yrs)
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Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
(
- Master (Two yrs)
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- 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
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
(
- Master (Two yrs)
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Mark
Predicting Protein Stability with Machine Learning
(
- Prof. qual. >4 yrs