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- 2024
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Mark
The Relationship Between ESG Performance and Innovation: Machine Learning Prediction and Quantitative Analysis
- Master (One yr)
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Mark
Smoothing techniques for 3D animated human pose estimation data
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Uncovering Underlying Determinants of Bank Revenue
- Master (One yr)
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Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
- 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
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
- 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)