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- 2020
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Mark
Machine learning methods on Swedish geological data
(
- Master (Two yrs)
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Mark
Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing
2020) In Master Thesis in Geographical Information Science GISM01 20202(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Using Neural Networks to Probe the Parameter Space of a 3HDM with a U(1) times Z2 Flavor Symmetry
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- Master (Two yrs)
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Mark
Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)
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- Master (Two yrs)
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Mark
Real-world low-light image enhancement using Variational Autoencoders
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- Master (Two yrs)
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Mark
Principal Component Analysis for STEM-EDS images: Optimal collection parameters
(
- Bach. Degree
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Mark
JPEG-deblocking of Blood Cell Images using Deep Learning
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- Master (Two yrs)
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Mark
Digitalization and Technostress: An Exploratory Data Analysis of the Norwegian Workforce
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- Master (Two yrs)
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Mark
Reaching for the limit of stability
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- Master (Two yrs)
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Mark
Analysis of stellar spectra with machine learning
2020) In Lund Observatory Examensarbeten ASTM31 20201(
Lund Observatory - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Master (Two yrs)