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- 2024
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Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
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Mark
Artificial Intelligence based tool for decision-making in urban stormwater management
(
- Master (Two yrs)
-
Mark
Self-supervised learning on tabular data: An investigation into different implementations of VIME
(
- Bach. Degree
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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)
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Mark
Geospatial neighborhood to enhance machine learning for dust storm susceptibility studies in the Middle East
(
- Master (Two yrs)
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Mark
Beating the Bookies
(
- Master (One yr)
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Mark
Hands Up!
(
- Master (Two yrs)
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Mark
Nonstandard Errors in Bank Default Prediction Using Machine Learning
(
- Bach. Degree
-
Mark
Comparing Machine Learning Models for Predicting Lung Cancer Mortality Rates
(
- Bach. Degree
-
Mark
The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.
(
- Master (One yr)
-
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
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
-
Mark
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
(
- Bach. Degree
-
Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
(
- Master (Two yrs)
-
Mark
Video Object Detection for Maritime Navigation
(
- Master (Two yrs)
-
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)
-
Mark
Comparative Analysis of Econometric and Machine Learning Approaches for Forecasting Bitcoin Return Volatility
(
- Master (One yr)
-
Mark
Deliberation in the Age of Deception: Measuring Sycophancy in Large Language Models
(
- Master (Two yrs)
-
Mark
Monitoring with MLOps for Clinical Decision Support
(
- Master (Two yrs)
-
Mark
Generating Volatility Surfaces using Variational Autoencoders
(
- Master (Two yrs)
-
Mark
Exploring UE Sensing Capabilities for Integrated Sensing and Communication
(
- Master (Two yrs)
-
Mark
Dynamic Feature Grouping in Anomaly Detection
(
- Master (Two yrs)
-
Mark
User Equipment Grouping in 5G TDD System using Machine Learning
(
- Master (Two yrs)
-
Mark
Potential of using Machine learning Technology to predict site location of Burial Sites in the Åland Islands.
(
- Master (Two yrs)
-
Mark
Integrated Error Detection at Software Launches with the Use of Machine Learning
(
- Master (Two yrs)
-
Mark
Simulation of Screening ECG data for Training of ML-based AF Detectors
(
- Master (Two yrs)
-
Mark
Analysis of list creation with machine learning
(
- Bach. Degree
-
Mark
Crop yield predictions using sequential UAV imagery and deep learning
(
- Master (Two yrs)
-
Mark
Optimizing winter wheat leaf area index estimation across growth stages using UAV data
(
- Master (Two yrs)
-
Mark
Leveraging Machine Learning Expertise for Healthcare Innovation: A Case Study in the Biomedical Market with Focus on Cervical Cancer Screening
(
- Master (Two yrs)
-
Mark
Satellite remote sensing of agricultural land for monitoring of soil health
(
- Prof. qual. >4 yrs
-
Mark
Expanding an adaptive learning-rate algorithm to handle mini-batch training
(
- Bach. Degree
-
Mark
The Power of Privilege: Enhancing Land Cover Classification with Privileged Information
(
- Master (Two yrs)
-
Mark
Ball Tracking in Association Football - Leveraging Player Detections to Locate the Ball Using Graph Attention Networks
(
- Master (Two yrs)
-
Mark
Utilizing AI to enhance monitoring of fishing activities via cooperative and non-cooperative methods
(
- Master (Two yrs)
-
Mark
Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains Stemming from Superheavy Nuclei Research
(
- Bach. Degree
-
Mark
Machine Learning-based Multimodal Data Compression
(
- Master (Two yrs)
-
Mark
Wild boar damage mapping in agricultural grass and wheatlands using Unmanned Aerial Vehicle (UAV) data
(
- Master (Two yrs)
-
Mark
AI & Ethics: An entrepreneurial perspective on potential dilemmas and coping mechanisms
(
- Master (One yr)
-
Mark
Estimating dry matter content in forage grasslands using Sentinel-2 satellite data
(
- Master (Two yrs)
-
Mark
Performance of ML-Based Bandwidth Compression on FPGAs
(
- Master (Two yrs)
-
Mark
SYMBOLIC REGRESSION IN ENERGY ENGINEERING
(
- Master (Two yrs)
-
Mark
Particle identification for the NNBAR experiment at ESS
(
- Bach. Degree
-
Mark
Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
(
- Master (Two yrs)
-
Mark
Long-Wave Infrared Polarimetry for License Plate Recognition
(
- Master (Two yrs)
-
Mark
Machine Learning Classification on Behavior-Based Security Alerts : A Comparative Study of Three Algorithms
(
- Bach. Degree
- 2023
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
-
Mark
Diffusion-based Vocoding for Real-Time Text-To-Speech
(
- 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
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
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
AI-sammanfattade klagomål på hälso- och sjukvård
(
- 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
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
Individual revenue forecasting in the banking sector
(
- Master (One yr)
-
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
Strategic Communication of Trustworthiness in Autonomous Systems, Machine Learning, & AI
(
- Master (Two 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
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
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
Modeling PFAS Transport in Groundwater - Exploring current approaches and evaluating parameter importance
(
- Prof. qual. >4 yrs
-
Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
(
- 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
Privacy Preserving Biometric Multi-factor Authentication
(
- Master (Two yrs)
-
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
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 - Has been reorganised- Master (Two yrs)
-
Mark
Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
(
- Master (Two yrs)
-
Mark
Machine learning based Topology Optimization
(
- Prof. qual. >4 yrs
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- Master (Two yrs)
-
Mark
Control Aid Implementation -Modelling and simulation of triple extruder-
(
- Master (Two yrs)
-
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
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)
- 2022
-
Mark
Biologically informed neural network for subphenotype classification in septic AKI
(
- Master (Two yrs)
-
Mark
Automatic text placement on maps using deep learning keypoint detection models
(
- Master (Two yrs)
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
-
Mark
Augmentation for Generalization
(
- Master (Two yrs)