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- 2025
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Mark
A Digital Twin for Smart Firefighting - A comparison of FDS and CFAST as input for a machine learning model
- Master (Two yrs)
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Mark
Precedent-Based Adaptive Modelling Framework for Basketball Win-Prediction
- Master (One yr)
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Mark
Motion Classification using Machine Learning on Embedded Devices
- Master (Two yrs)
- 2024
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Mark
Trigger-Level Electron Counting in the Light Dark Matter eXperiment using Artificial Neural Networks
- Bach. Degree
- 2023
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Mark
Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
- Master (Two yrs)
- 2022
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Mark
Identifying Piggybacking with Radar and Neural Networks
(2022) In Master's Theses in Mathematical Sciences FMAM05 20222
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2021
-
Mark
Index prediction on the Swedish stock market using natural language processing methods on Swedish news
- Master (Two yrs)
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Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
- Master (Two yrs)
- 2020
-
Mark
Gate Recurrent Unit Neural Networks for Hearing Instruments
- Master (Two yrs)
- 2018
-
Mark
Artificial Neural Networks for Enhanced Exoskeleton Grip Movement
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)