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- 2024
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Mark
Global Cell-ID Positioning Using Artificial Neural Networks
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2023
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Mark
Exploring New Physics Through Collider and Gravitational Wave Measurements with Artificial Neural Networks: the Case Study of QCD-like Technicolor
- Master (One yr)
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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)
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Mark
Speaker verification: Advantages and limitations of a biologically inspired feature extractor
- Master (Two yrs)
- 2021
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Mark
A System for Affective Touch in Humanoid and Social Robotics
- Master (Two yrs)
- 2020
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Mark
Evaluating VaR and ES for commodities - both conventionally and with neural networks
- Master (One yr)
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Mark
Estimation of Red Blood Cell-Count using Neural Networks
- Master (Two yrs)
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Mark
Deep Learning Approach to Material Properties
- Bach. Degree
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Mark
Training Bayesian Neural Networks
- Master (One yr)