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Cetin, Halithan (author)
Time-sensitive medical emergencies resulting from the entry of harmful agents into the body require immediate and urgent medical attention to prevent irreversible symptoms or fatalities. However, the current process for urgent care relies on human intervention, which can introduce significant delays and potentially compromise the effectiveness...
master thesis 2023
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Heunks, Lex (author)
The need for smart traffic control has grown over the last years. Initiated by an increased amount of traffic. Network-wide traffic control is becoming a more interesting field for traffic control. Mainly because computer power has increased and optimisation techniques improved. Network-wide traffic aims to improve the overall traffic state by...
master thesis 2022
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Sathyanarayanan, Mahalakshmi (author)
General anesthesia (GA) is an important medical procedure that induces unconsciousness to patients during surgery. Consciousness is a salient feature of the brain, whose neurophysiological features are difficult to be distinguished from unconsciousness. Though it can be defined as an event arising due to interactions in the nervous system, it...
master thesis 2021
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Kaźmierczak, Adrianna (author)
A satellite remote sensing technique, Interferometric Synthetic Aperture Radar (InSAR), is able to provide surface displacement information on a millimeter level. In this study, data from the TerraSAR-X satellite collected in the years 2009-2018 over the area of Amsterdam is used. Even though radar data is a subject to multi-step processing,...
master thesis 2021
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Bansal, Ishita Rai (author)
Resting-state functional magnetic resonance imaging (rs-fMRI) is one of the promising non-invasive technology that helps in the detection of neurodegenerative and neurological disorders, localisation of the different areas of the brain and understanding the connectivity between them. It involves the acquisition of time series of MR images while...
master thesis 2021
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Vermeer, R.F.T. (author)
In this thesis, we consider the problem of controlling multiple autonomous vehicles in a highway scenario, via MPC. By iteratively solving a motion planning OCP, MPC is perfectly suited for unknown dynamic environments, while optimally computing path and vehicle inputs. Moreover, MPC can ensure the satisfaction of collision avoidance constraints...
master thesis 2020
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