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- 2024
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Mark
Crop yield predictions using sequential UAV imagery and deep learning
- Master (Two yrs)
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Mark
Optimizing winter wheat leaf area index estimation across growth stages using UAV data
- Master (Two yrs)
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Mark
Leveraging Machine Learning Expertise for Healthcare Innovation: A Case Study in the Biomedical Market with Focus on Cervical Cancer Screening
- Master (Two yrs)
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Mark
Wind Offshore Power Forecasting - A comparative analysis of forecasting accuracy between Machine Learning and classical Time Series models
- Master (One yr)
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Mark
Satellite remote sensing of agricultural land for monitoring of soil health
- Prof. qual. >4 yrs
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Mark
Expanding an adaptive learning-rate algorithm to handle mini-batch training
- Bach. Degree
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Mark
Geospatial neighborhood to enhance machine learning for dust storm susceptibility studies in the Middle East
- Master (Two yrs)
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Mark
Portfolio Optimization using Deep Reinforcement Learning models
- Master (Two yrs)
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Mark
A Speech Signal Processing Approach for Early Detection of Parkinson's Disease
- Bach. Degree
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Mark
Predicting Blood Stream Infections with Tabular Data from Swedish Electronic Health Records
(2024) In Master's Theses in Mathematical Sciences FMAM05 20242
Mathematics (Faculty of Engineering)- Master (Two yrs)