1 – 10 of 14
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2025
-
Mark
Understanding the effects of Urban Green Spaces and Building Characteristics on Land Surface Temperature using multi-source geodata and Deep Learning
- Master (Two yrs)
-
Mark
Street-level greenery mapping and urban heat modelling using deep learning and street view imagery
- Master (Two yrs)
-
Mark
Environmental Drivers of Baltic Sea Fishing – A LSTM Spatio-Temporal Study
- Master (Two yrs)
-
Mark
Evaluating the Impact of Urban Green Spaces and Vegetation Characteristics on Land Surface Temperature Across Swiss Cities Using Machine Learning
(2025) In Master Thesis in Geographic Information Science GISM01 20251
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2024
-
Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
- Master (Two yrs)
-
Mark
Utilizing AI to enhance monitoring of fishing activities via cooperative and non-cooperative methods
- Master (Two yrs)
-
Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
-
Mark
Spatiotemporal dynamics of E-scooter sharing ridership and their associations with the built environment: A Swedish comparative study
(2024) In Master Thesis in Geographical Information Science GISM01 20242
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2023
-
Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
- Master (Two yrs)
-
Mark
Uncovering the spatial relationships between Covid-19 vaccine coverage and local politics in Sweden
(2023) In Master Thesis in Geographical Information Science GISM01 20232
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)