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- 2024
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Mark
Multivariate time series classification in time-sensitive environments using deep learning
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- Master (Two yrs)
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Mark
On the feasibility of Transformer based foundation models for time series forecasting
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- Master (Two yrs)
- 2023
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Mark
Creating a Virtual Tyre Temperature Sensor
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- Master (Two yrs)
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Mark
Can Machine Learning improve inflation forecasting?
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- Master (One yr)
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Mark
Tether-free Driveline Control for Water Propulsion Devices
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- Master (Two yrs)
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Mark
Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset
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- Master (One yr)
- 2022
-
Mark
Analysis of Carbon Dioxide Flux from a Tower Sensor in Abisko Sweden
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- Master (Two yrs)
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Mark
Using Dynamic Double Machine Learning for Guided District Heating Forecasting and Physical Parameter Extraction
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- Master (Two yrs)
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Mark
Unsupervised Anomaly Detection for Humidity Sensor Data
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- Master (One yr)
- 2021
-
Mark
Analysis of Forecasts for District Heat Production using Different Models for Seasonal Partitions
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- Master (Two yrs)