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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
Kan akademin hjälpa industrin utveckla mer robusta grundvattenmodeller? En studie av moderna svenska industriframtagna grundvattenmodeller
(
- Bach. Degree
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Mark
What is vulnerability to climate change and who are the particularly vulnerable?
(
- Master (Two yrs)
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Mark
Kan chockmetamorfos i okonventionella mineral hjälpa till att identifiera nedslagskratrar?
(
- Bach. Degree
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
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Mark
Biokinetic Characterization of Methane Oxidizing Microbiomes Co-metabolizing Trace Organic Chemicals
(
- Master (Two yrs)
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Mark
Urban AI och naturbaserade lösningar
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- Master (Two yrs)
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Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
2024) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Integrating Local Knowledge into the Spatial Analysis of Wind Power: The case study of Northern Tzoumerka, Greece
2024) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Metaller i Vombsjön - Mygglarver som bioindikator för miljöövervakning
(
- Bach. Degree