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- 2024
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Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
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- Master (Two yrs)
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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
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
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- Bach. Degree
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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)
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Mark
Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
(
- Bach. Degree
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Mark
Multivariate time series classification in time-sensitive environments using deep learning
(
- Master (Two yrs)
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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)
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- Master (Two yrs)
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Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
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- Master (Two yrs)
- 2023
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Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
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- Master (Two yrs)
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Mark
Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller
(
- Bach. Degree
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Mark
The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia
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- Master (Two yrs)
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Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
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- Master (One yr)
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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
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)
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Mark
Can Machine Learning improve inflation forecasting?
(
- Master (One yr)
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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)
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Mark
An Open-Source Autoencoder Compression Tool for High Energy Physics
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- Master (One yr)
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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)
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Mark
Strategic Communication of Trustworthiness in Autonomous Systems, Machine Learning, & AI
(
- Master (Two yrs)
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Mark
Machine Learning-based Lean Six Sigma Process
(
- Bach. Degree