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- 2024
-
Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
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Mark
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
(
- Bach. Degree
-
Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
-
Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
2024) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
(
- Bach. Degree
-
Mark
Multivariate time series classification in time-sensitive environments using deep learning
(
- Master (Two yrs)
-
Mark
Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
(
- Master (Two yrs)
-
Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
(
- 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)
-
Mark
Estimating lake water volume fluctuations using Sentinel-2 and ICESat-2 remote sensing data
2024) In Master Thesis in Geographical Information Science GISM01 20241(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2023
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
-
Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
(
- Master (Two yrs)
-
Mark
Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller
(
- Bach. Degree
-
Mark
Using forest reflectance modelling to estimate albedo for narrow-view satellites
(
- Master (Two yrs)
-
Mark
Beam selection using Machine Learning in Massive MIMO systems
(
- Master (Two yrs)
-
Mark
Wind power forecasting using random forests
(
- Master (Two yrs)
-
Mark
Machine Learning in Risk Management Applications
(
- Master (One yr)
-
Mark
Modeling PFAS Transport in Groundwater - Exploring current approaches and evaluating parameter importance
(
- Prof. qual. >4 yrs
-
Mark
Predicting Protein Stability with Machine Learning
(
- Prof. qual. >4 yrs
-
Mark
Tether-free Driveline Control for Water Propulsion Devices
(
- Master (Two yrs)
-
Mark
Using Social Media and Personality Predictions to Anticipate Startup Success
(
- Master (Two yrs)
-
Mark
Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
(
- Master (Two yrs)
-
Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
(
- Master (Two yrs)
-
Mark
The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia
(
- Master (Two yrs)
-
Mark
Machine learning based Topology Optimization
(
- Prof. qual. >4 yrs
-
Mark
Combined use of Sentinel-2 and Sentinel-1 data for wheat crop yield forecasting with machine learning algorithms
(
- Master (Two yrs)
-
Mark
Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
(
- Master (One yr)
-
Mark
Estimation of surface soil moisture from Sentinel-1 Synthetic Aperture Radar imagery using machine learning method
(
- Master (Two yrs)
-
Mark
Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study
(
- Master (Two yrs)
-
Mark
Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
(
- Master (Two yrs)
-
Mark
Privacy Preserving Biometric Multi-factor Authentication
(
- Master (Two yrs)
-
Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)
-
Mark
Predicting the Movement of the S&P 500 Index using Machine Learning
(
- Master (One yr)
-
Mark
AI-sammanfattade klagomål på hälso- och sjukvård
(
- Bach. Degree
-
Mark
Control Aid Implementation -Modelling and simulation of triple extruder-
(
- Master (Two yrs)
-
Mark
Exploring AI Adoption in Entrepreneurial Content Marketing Strategies of European Companies
(
- Master (One yr)
-
Mark
Modelling Airbnb Prices in the Maltese Islands
(
- Master (One yr)
-
Mark
MISK-Moves
(
- Bach. Degree
-
Mark
Exploration of Alternative Image Representation Using Signed Distance Functions
(
- Master (Two yrs)
-
Mark
A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
2023) FYTM05 20231(
Department of Physics
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- Master (Two yrs)
-
Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
Machine Learning-based Lean Six Sigma Process
(
- Bach. Degree
-
Mark
An Artificial Neural Network Approach to Algorithmic Trading
(
- Master (Two yrs)
-
Mark
Multi-scale Bark Beetle Predictions Using Machine Learning
2023) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Diffusion-based Vocoding for Real-Time Text-To-Speech
(
- Master (Two yrs)
-
Mark
Predicting Tennis Match Results Using Classification Methods
(
- Master (One yr)
-
Mark
Human Analysts’ Perceptions towards AI-based Solutions in Cyber Security: A Qualitative Study
(
- Bach. Degree
-
Mark
Nowcasting U.S. inflation using mixed frequency real-time data
(
- Master (Two yrs)
-
Mark
Particle Detection in Bone Marrow Using CNNs and Transformer Networks
(
- Master (Two yrs)