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- 2023
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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
(
- Master (Two yrs)
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Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
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Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
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- 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
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- Master (Two yrs)
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Mark
Can Machine Learning improve inflation forecasting?
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- 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
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- 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