Loss functions and neural networks: Comparing different loss functions for NLP neural networks

Neural network is an active research field which involves many different (unsolved) issues, for example, different types of configuration of the network architectures, training strategies, etc. Amongst these active issues, the choice of loss (or cost) functions plays an important role in how a neural network model is to be optimized (trained)...

Using Artificial Intelligence for Aerosol Data Assimilation

To study the aerosols in the atmosphere is an important aspect for getting a better understanding of climate change. Therefore, it is important to get accurate observations of aerosols in the atmosphere as well as accurate emission fluxes of aerosol species. Satellite instruments such as SPEXone are able to measure aerosol properties with a high...

Advecting Superspecies: Reduced order modeling of organic aerosols in LOTOS-EUROS using machine learning

Chemical transport models (CTMs) are used to improve our understanding of the complex processes influencing atmospheric composition, as well as provide operational air quality forecasts and model potential future air quality scenarios. Numerical tracers in CTMs track the concentration of chemical species, while operators simulate various...

Deepfake Detection Using Convolutional Neural Networks: Working Towards Understanding the Effects of Design Choices

When building a convolutional neural network, many design choices have to be made. In the case of Deepfake detection, there is no readily implementable recipe that guides these choices. This research aims to work towards understanding the effects of design choices in the case of Deepfake detection, using the Python library Keras and publicly...

Modelleren van verkeer en transport in verkeersnetwerken

In de wereld waarin we leven is verkeer niet meer weg te denken. Mensen en goederen verplaatsen zich per auto, boot, vliegtuig, openbaar vervoer, enzovoorts. Dit moet ook nog eens in zo'n kort mogelijke tijd. Er wordt dan ook veel onderzoek gedaan om het verkeer te optimaliseren. Zo worden er verkeersmodellen gemaakt om het verkeer bijvoorbeeld...

Optimalisatie en modellering van vertraging in verkeersnetwerken

In dit verslag worden twee verschillende modellen bekeken om vertraging die opgelopen wordt door weggebruikers in verkeersnetwerken te modelleren en te minimaliseren. De modellen worden gecontroleerd en geverifieerd met onder andere Maple en de stelling van Tellegen. Bij beide modellen worden voorbeelden gegeven en uitgerekend. Dit gebeurt zowel...

Developing a CUDA solver for large sparse matrices for MARIN

The Maritime Research Institute Netherlands (MARIN) supplies innovative products for the offshore industry and shipping companies. Among their products are highly realistic real-time bridge simulators. Currently, the waves are deterministic and are not affected by ships, moles, breakwaters, piers, or any other object. To bring the simulators to...

Parallelization of Ensemble Kalman Filter (EnKF) for Oil Reservoirs

This thesis describes the design and implementation of a parallel algorithm for data assimilation with ensemble Kalman filter (EnKF) for oil reservoir management. The implemented application works on large number of observations from time-lapse seismic, which lead to a large turnaround time for the analysis step, in addition to the time...