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- 2024
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Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
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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
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
- 2023
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Mark
Multi-scale Bark Beetle Predictions Using Machine Learning
2023) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2022
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Mark
Optimizing the locations of bike-sharing stations using GPS-based trip data: A Spatio-temporal demand coverage approach
(
- Master (Two yrs)
- 2021
-
Mark
Mining geosocial data from Flickr to explore tourism patterns: The case study of Athens
2021) In Master Thesis in Geographical Information Science GISM01 20211(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
GIS-based multi-criteria analysis framework for geofence planning of dockless bike-sharing
(
- Master (Two yrs)
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Mark
Livestock-MRSA in Danish Pig Farms
2021) In Master Thesis in Geographical Information Science GISM01 20212(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Applying machine learning approaches to model travel choice between micro-mobility services
(
- Master (Two yrs)
- 2020
-
Mark
Development of an iOS, Augmented Reality for disaster management
2020) In Master Thesis in Geographical Information Science GISM01 20201(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)