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Moelchand, Pravesh (author), Gnanavarothayan, Kabilan (author), Verheijde, Jim (author), van Stam, Just (author)Intermax Cloudsourcing B.V. designs, implements and manages critical IT-infrastructures for Dutch clients from the medical, public and financial sectors. The information that passes over these IT-infrastructures is highly confidential and privacy-sensitive, therefore it is essential that these infrastructures are secure. To improve the security...bachelor thesis 2019
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Arnaoutis, Vasos (author)Deep Learning performance dependents on the application and methodology. Neural Networks with convolutional layers have been a great success in multiple tasks trained under Supervised Learning algorithms. For higher dimensional problems, the selection of a deep network architecture can significantly improve the accuracy of the network, however...master thesis 2019
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van der Meer, Remco (author)Recent works have shown that neural networks can be employed to solve partial differential equations, bringing rise to the framework of physics informed neural networks.The aim of this project is to gain a deeper understanding of these novel methods, and to use these insights to further improve them. We show that solving a partial differential...master thesis 2019
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Claes, Jochem (author)The Low Earth Orbit (LEO) region has been attractive to many space agencies and organisations because of its ease of access and the ideal opportunity for remote sensing. Due to the low altitudes, a satellite's orbital state is highly affected by the atmospheric drag force acting on the satellite's body. The largest variation in this drag force...master thesis 2019
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Lenferink, Luc (author)Motivation: Traffic forecasting is becoming a vital component of our travel experience. It plays a key role in intelligent transportation systems that allow us to make smarter use of existing transportation networks. This study focuses on the possible role of artificial neural networks in these systems and what data can be best feed in to them...bachelor thesis 2019
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Mulder, Boris (author)Very complex flows can be expensive to compute using current CFD techniques. In this thesis, models based on deep learning were used to replace certain parts of the flow domain, with the objective of replacing well-known regions with simplified models to increase efficiency. To keep the error produced by the deep learning model bounded, a...master thesis 2019
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Hoogendoorn, Jasper (author)In this thesis, we study the sequential Monte Carlo method for training neural networks in the context of time series forecasting. Sequential Monte Carlo can be particularly useful in problems in which the data is sequential, noisy and non-stationary. We compare this algorithm against a gradient-based method known as stochastic gradient descent ...master thesis 2019
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Varsamopoulos, S. (author)Quantum error correction (QEC) is key to have reliable quantum computation and storage, due to the fragility of qubits in current quantum technology and the imperfect application of quantum operations. In order to have efficient quantum computation and storage, active QEC is required. QEC consists of an encoding and a decoding process. The way...doctoral thesis 2019
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SHARMA, Sparsh (author)The increasing complexity of mechanical systems has resulted in an increased usage and dependence on data driven modelling techniques in order to obtain simple yet accurate models of these systems. Neural networks have emerged as a popular modelling choice due to their proven ability to learn complex nonlinear relationships between inputs and...master thesis 2019
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Verberne, Stijn (author)Clients with a mortgage loan may prepay a part of their loan before the contractual date. This is called prepayment. In the case of a prepayment, the bank who issued the loan earns less interest than ini- tially agreed. It is therefore essential to build accurate models for predicting prepayment behavior. In this thesis, machine learning models...master thesis 2019
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Miedema, Rene (author)In the field of computational neuroscience, complex mathematical models are used to replicate brain behavior with the goal of understanding the biological processes involved. The simulation of such models are computationally expensive and therefore, in recent years, high-performance computing systems have been identified as a possible solution...master thesis 2019
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Sharifi Noorian, S. (author), Psyllidis, A. (author), Bozzon, A. (author)Street-level imagery contains a variety of visual information about the facades of Points of Interest (POIs). In addition to general mor- phological features, signs on the facades of, primarily, business-related POIs could be a valuable source of information about the type and iden- tity of a POI. Recent advancements in computer vision could...conference paper 2019
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Robijns, Michel (author)This thesis is part of a greater effort to use machine learning for the development of flexible and universal unresolved-scale models in large eddy simulation (LES). The novelty in the current work is that a neural network learns to predict the integral forms of the unresolved-scale terms directly without a priori assumptions on the underlying...master thesis 2019
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Sankararaman, Shyam Prasadh (author)Hyperspectral imaging (HSI) is a promising imaging modality in medical applications, especially for non-invasive and non-contact disease diagnosis and image-guided surgery. Encoding both spatial and spectral information, it can detect subtle changes in the biochemical and morphological properties of a tissue, revealing the early progression of a...master thesis 2019
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Bosma, Stijn (author)A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...master thesis 2019
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Hoveling, Vera (author)Before you lies the report that resulted from the Individual Research Project of Vera Hoveling. For this project, a neural network has been developed to complete partially rendered images: BobRossNet. In this document you will find the details of the project, the architecture of BobRossNet, its training, results and a reflection on its future.bachelor thesis 2019
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García Sanz, María (author)Patients with 1p/19q co-deleted low grade glioma (LGGs) have better prognosis and react better to certain treatments than patients with intact 1p/19q LGG. Currently, information about the 1p/19q co-deletion status is obtained by means of an invasive procedure called biopsy. As an alternative, non-invasive techniques to extract this information...master thesis 2019
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Baireuther, P.S. (author), Caio, M. D. (author), Criger, D.B. (author), Beenakker, C. W.J. (author), O'Brien, T.E. (author)A quantum computer needs the assistance of a classical algorithm to detect and identify errors that affect encoded quantum information. At this interface of classical and quantum computing the technique of machine learning has appeared as a way to tailor such an algorithm to the specific error processes of an experiment - without the need...journal article 2019
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Elmahdy, Mohamed S. (author), Jagt, Thyrza (author), Zinkstok, Roel Th. (author), Qiao, Yuchuan (author), Shahzad, Rahil (author), Sokooti, Hessam (author), Yousefi, Sahar (author), Incrocci, Luca (author), Marijnen, C.A.M. (author), Hoogeman, Mischa (author), Staring, M. (author)Purpose: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning. Methods: A three-dimensional (3D) Convolutional Neural Network was trained for automatic bladder segmentation...journal article 2019
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Vigueras Guillén, J.P. (author), Sari, B. (author), Goes, S.F. (author), Lemij, Hans G. (author), van Rooij, Jeroen (author), Vermeer, K.A. (author), van Vliet, L.J. (author)Background<br/><br/>Corneal endothelium (CE) images provide valuable clinical information regarding the health state of the cornea. Computation of the clinical morphometric parameters requires the segmentation of endothelial cell images. Current techniques to image the endothelium in vivo deliver low quality images, which makes automatic...journal article 2019