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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
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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
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
(
- Master (Two yrs)
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Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
(
- 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
- 2022
-
Mark
Pre-classification of Hairy Cells Using Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Unsupervised Anomaly Detection for Humidity Sensor Data
(
- Master (One yr)
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Mark
Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis
(
- Master (Two yrs)
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Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
-
Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators
(
- Master (Two yrs)
-
Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
-
Mark
Investigating Machine Learning for verification of AMBA APB protocol.
(
- Master (Two yrs)
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Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(
- Master (Two yrs)
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Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(
- Master (Two yrs)
-
Mark
Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline
(
- Master (Two yrs)
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Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
(
- Master (Two yrs)
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Mark
Radar Detection Using Deep Learning
(
- Master (Two yrs)
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Mark
Autoencoder outlier detection during the Covid-19 vaccination campaign
2022) FYTM03 20221(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Classifying Hypernasality for Children with a Cleft Palate using a Convolutional Neural Network
(
- Master (Two yrs)
- 2021
-
Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
(
- Master (Two yrs)
-
Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
(
- Master (Two yrs)
-
Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(
- Master (Two yrs)
-
Mark
Deep Learning on a Microcontroller Unit in a Hand-Prosthesis Control Context
(
- Master (Two yrs)
-
Mark
Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation
(
- Master (Two yrs)
-
Mark
Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages
(
- Master (Two yrs)
-
Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
(
- Master (Two yrs)
-
Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
(
- Master (Two yrs)
-
Mark
Evaluation of Real-Time Single-Object Tracking Algorithms in a Non-Stationary Robotic Agent
(
- Master (Two yrs)
-
Mark
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(
- Master (Two yrs)
-
Mark
Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data
(
- Master (Two yrs)
-
Mark
Using Machine Learning to Detect Grapevine Disease in Wine Production
(
- Master (Two yrs)
-
Mark
Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
(
- Master (Two yrs)
-
Mark
Quantification of Fetal Volume in Magnetic Resonance Images Using Deep Learning
(
- Master (Two yrs)