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- 2025
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Mark
Evaluating LSTM Neural Networks for Energy Forecasting in CHP Plants: A Comparative Approach
- Master (One yr)
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Mark
Motion Classification using Machine Learning on Embedded Devices
- Master (Two yrs)
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Mark
Data-driven investigations into the reactivity and selectivity of thianthrenation-based C–H functionalization
- Master (Two yrs)
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Mark
High-Resolution Radar Sensors for Human Gait Classification
- Master (Two yrs)
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Mark
Artificial Intelligence in Airline Pilot Training
- Bach. Degree
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Mark
Change-Aware Predictive Test Selection and Prioritization
- Master (Two yrs)
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Mark
Building Energy Performance Gap: Different Approaches for Mitigation
- Master (Two yrs)
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Mark
Predicting Antibody Developability: Machine Learning Meets Therapeutic Antibodies
(2025) In Master’s Theses in Mathematical Sciences FMAM05 20251
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Can machine learning be used to accurately forecast intraday index returns using candlestick data?
- Master (One yr)
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Mark
Chasing Alpha in Bitcoin: Forecasting Price Direction and Generating Alpha with Random Forest and LASSO-Logistic
- Master (One yr)