Mathematical Statistics
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- 2025
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Mark
Improvement of labour planning in industrial manufacturing using Machine Learning
- Master (Two yrs)
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Mark
Portfolio risk and performance evaluation using a combination of GARCH and stochastic volatility models with constant and dynamic correlation structures
- Master (Two yrs)
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Mark
Prediction of Volumetric and Adiabatic Performance of Screw Compressors Using Gaussian Process Regression
- Master (Two yrs)
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Mark
Prolonging Survival in Glioblastoma: Modeling the Effects of Gabapentin and the Modulatory Role of Dexamethasone
- Master (Two yrs)
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Mark
Modelling of shade and microclimate in agrivoltaic systems
- Master (Two yrs)
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Mark
Numerical Modeling for Subcutaneous Injection Pressure
(2025) In Master’s Theses in Mathematical Sciences NUMM03 20251
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences
Mathematics (Faculty of Sciences)
Mathematical Statistics- Master (Two yrs)
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Mark
A COMPREHENSIVE FRAMEWORK FOR PATIENT-ADAPTIVE MODELING OF VENTRICULAR ELECTROCARDIAC DISEASE - INTEGRATING BIOPHYSICAL SIMULATION WITH A NOVEL PHYSICS-INFORMED DEEP LEARNING APPROACH FOR INVERSE RECONSTRUCTION
- Master (Two yrs)
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Mark
Modeling Black Carbon Pollution Sources in Europe using Linear Regression
- Bach. Degree
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Mark
Forecasting Bitcoin Price Movements Using Neural Networks: A Time Series Approach
- Bach. Degree
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Mark
Predicting 30-day Mortality after ICU admission, with the help of SAPS 3, Medication Records, and Machine Learning
- Master (Two yrs)