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Brouwer, Wietske (author), van Hamel, Amber (author), van Haren, Mick (author), Kindermann, Paulina (author), Verboeket, Rik (author)The Kathmandu Valley in Nepal is facing the combined effects of population growth, rapid urbanization, economic development, and climate change. This results in serious water management challenges: growing freshwater demands, declining water tables, drying of streams, and deteriorating water quality. Insufficient surface water supplies have led...student report 2020
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Apra, Irène (author), Bachert, Carolin (author), Caceres Tocora, Camilo (author), TUFAN, ÖZGE (author), Veselý, Ondrej (author)Led in cooperation with the company Brink, who provides management and consultation services for construction and real estate sectors, this Synthesis Project aims at automatically deriving meaningful information about buildings. More precisely, the focus is to automatically detect roof obstacles - such as dormers, chimneys, and solar panels - to...student report 2021
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Smit, Mels (author), Chen, Zhaiyu (author), Erbaşu, Mihai-Alexandru (author), Yustisi Ardhitasari Lumban Gaol, Yustisi (author), Li, Xiaoai (author)With the constantly evolving range of applications for technology the quality and amount of data constantly increases as well. In this growing data environment, there is a constant search to provide more value to all data that is available for as little effort as possible. Our research tries to add such additional value by diving into the...student report 2020
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Bijvoet, Bas (author)Vehicle routing problems (VRPs), a generalization of the traveling salesman problem, are extensively studied combinatorial optimization problems for their practical application. Many solution methods, e.g., exact and heuristic algorithms, have been proposed in the last few decades but require relatively much computation time due to the NP-hard...student report 2021
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Ahishakiye, Emmanuel (author), van Gijzen, M.B. (author), Tumwiine, Julius (author), Wario, Ruth (author), Obungoloch, Johnes (author)Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have received considerable attention in the literature in recent years. This study reviews records obtained...review 2021
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Tang, Ruifan (author), De Donato, Lorenzo (author), Bešinović, Nikola (author), Flammini, Francesco (author), Goverde, R.M.P. (author), Lin, Zhiyuan (author), Liu, Ronghui (author), Tang, Tianli (author), Vittorini, Valeria (author), Wang, Z. (author)Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective,...review 2022
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- Maruhashi, J. (author), Dedoussi, I.C. (author), Grewe, V. (author) poster 2021
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Verkooijen, Paul (author)Double strand breaks are lesions to the DNA and can be fatal for cells. Therefore these breaks are repaired, primarily by one of the three major repair pathways. Two of these pathways are non-homologous end-joining (NHEJ) and theta-mediated end-joining (TMEJ). These pathways leave genetic alterations in their repair products, a form of DNA...master thesis 2021
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Zhang, Haiyin (author)The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...master thesis 2022
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Scavuzzo Montana, Lara (author)Mixed Integer Linear Programming (MILP) is a generalization of classical linear programming where we restrict some (or all) variables to take integer values. Numerous real-world problems can be modeled as MILPs, such as production planning, scheduling, network design optimization and many more. MILPs are, in fact, NP-hard. State-of-the-art...master thesis 2020
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Wolters, Anouk (author)There is a need for a more comprehensive sociotechnical systems view on ML. Such a view looks at the development and use of an ML system in practice as being a sociotechnical ML system: "a system consisting of technical artefacts, human agents and institutions, in which a machine-based subsystem influences its real or virtual environment by...master thesis 2022
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Everingham, Dylan (author)The development of optical metamaterials in recent years has enabled the design of novel optical devices with exciting properties and applications ranging across many fields, including in scientific instrumentation for space missions. This in<br/>turn has led to demand for computational methods which can produce efficient device designs....master thesis 2022
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Arntzen, Stefan (author)High-fidelity optimisation studies are a useful asset in the design of critical components for large gas turbines. These studies require the computation of numerous computationally expensive CFD simulations and result in predominantly optimisation graphs of design objectives (e.g. Pareto-front figure). The quantity of generated data is...master thesis 2019
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Elghlan, Faris (author)This M.Sc. thesis report investigates the application of one-class classification techniques to complex high-dimensional data. The aim of a one-class classifier is to separate target data from non-target data, but only a dataset containing target data is available for training. The issue with high-dimensional data is that it is difficult to...master thesis 2019
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Montesinos García, Lucas (author)Authentication is becoming an increasingly important application in the connected world and is driven by the growing use of mobile and IoT devices that use an increasing number of applications that require transactions of sensitive data. Security usually relies on passwords and/or two-factor authentication which are too intrusive for daily use....master thesis 2018
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Samiotis, Ioannis Petros (author)Side-Channel Attacks, are a prominent type of attacks, used to break cryptographic implementations on a computing system. They are based on information "leaked" by the hardware of a computing system, rather than the encryption algorithm itself. Recent studies showed that Side-Channel Attacks can be performed using Deep Learning models. In this...master thesis 2018
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Thomaidou, Eftychia (author)In this research, we studied the impact of the 5'UTR sequences on translation. This is done by generating various features describing the 5'UTR. Those features are then used as input in regression and classification models, that have the Translation Initiation Rates as target. The reason why it is of such importance, is dual. Because is very...master thesis 2017
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Kroezen, Dave (author)Online Reinforcement Learning is a possible solution for adaptive nonlinear flight control. In this research an Adaptive Critic Design (ACD) based on Dual Heuristic Dynamic Programming (DHP) is developed and implemented on a simulated Cessna Citation 550 aircraft. Using an online identified system model approximation, the method is independent...master thesis 2019
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Lange, Berend-Jan (author)Artificial neural networks are the key driver of progress in various semantic computer vision tasks such as age prediction and digit classification. For the successful application of neural network algorithms, the representation of the data is an important factor. A good representation can significantly simplify a regression or prediction task....master thesis 2021
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Meulman, Erik (author)Model-based evolutionary algorithms (MBEAs) are praised for their broad applicability to black-box optimization problems. In practical applications however, they are mostly used to repeatedly optimize different instances of a single problem class, a setting in which specialized algorithms generally perform better. In this paper, we introduce the...master thesis 2019