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- 2024
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Mark
Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
(
- Bach. Degree
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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
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
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
-
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)
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Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
(
- Master (Two yrs)
- 2023
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Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
(
- Master (Two yrs)
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Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
(
- Master (Two yrs)
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Mark
Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller
(
- Bach. Degree
-
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)
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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
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)
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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
Using forest reflectance modelling to estimate albedo for narrow-view satellites
(
- Master (Two yrs)
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- 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
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- 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
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)
-
Mark
Individual revenue forecasting in the banking sector
(
- Master (One yr)
-
Mark
Classifying High-Growth Manufacturing Firms on the Swedish Stock Market:A Comparative Study Between the Logistic Regression, Support Vector Machine and Artificial Neural Network
(
- Master (Two yrs)
-
Mark
Can Machine Learning improve inflation forecasting?
(
- Master (One yr)
-
Mark
Smart water monitoring for better water quality - An affordable and sustainable way to predict unexpected environmental changes of water bodies
2023) In Master Thesis Series in Environmental Studies and Sustainability Science MESM02 20231(
LUCSUS (Lund University Centre for Sustainability Studies)- Master (Two yrs)
-
Mark
An Open-Source Autoencoder Compression Tool for High Energy Physics
(
- Master (One yr)
-
Mark
Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors
(
- Master (Two yrs)
-
Mark
Strategic Communication of Trustworthiness in Autonomous Systems, Machine Learning, & AI
(
- Master (Two 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
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
Privacy Preserving Biometric Multi-factor Authentication
(
- Master (Two yrs)