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de Korte, Nico (author)Relative navigation systems based on monocular cameras are currently under active investigation for their capability to deliver fast pose solutions under low power and mass requirements. Cameras depend on the passive collection of radiation, making their performance highly dependent on illumination conditions and image background. In the...master thesis 2021
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Huisman, Rowan (author)As global climate change concerns intensify, the European Union aims towards the decarbonization of its Member States. Over the last decade, hydrogen has received increasing attention as a vital element to achieve this decarbonization. However, the diffusion of hydrogen in the European Union is critically dependent on the emergence of a pipeline...master thesis 2021
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van der Vlugt, Boaz (author)The field of robust optimization deals with problems where uncertainty influences the optimal decision. Some of these problems can be formulated in a ‘two-stage’ formulation, such as the location transportation problem. To solve such a problem, a column-and-constraint-generation algorithm has been introduced in which constraints are iteratively...bachelor thesis 2021
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Heslenfeld, Janne (author)Robust optimisation is shown to be extremely important in a wide range of applications including real life. Many research projects are dedicated to this relatively young and active research field and show the significant value of robust optimisation. Since many researchers have developed complex methods dedicated to robust optimisation, the aim...bachelor thesis 2021
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van Kooten, Wietse (author)Applying multiple structure learning algorithms like hill-climbing, incremental association and grow-shrink, to investigate their robustness, predictive capabiliy and goodness of fit on multiple discrete Bayesian networks and Gaussian Bayesian networks.bachelor thesis 2021
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Marinov, Atanas (author)Multi-label learning is one of the hot problems in the field of machine learning. The deep neural networks used to solve it could be quite complex and have a huge capacity. This enormous capacity, however, could also be a negative, as they tend to eventually overfit the undesirable features of the data. One such feature presented in the real...bachelor thesis 2021
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Pene, Cosmin (author)Multi-label learning is an emerging extension of the multi-class classification where an image contains multiple labels. Not only acquiring a clean and fully labeled dataset in multi-label learning is extremely expensive, but also many of the actual labels are corrupted or missing due to the automated or non-expert annotation techniques. Noisy...bachelor thesis 2021
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Pretelt Duque, Manuela (author)COVID-19 has highlighted the importance of the healthcare systems in society. The pandemic overwhelmed hospitals and forced rapid and radical changes in healthcare organizations' working practices and management structures (MASS Design Group, 2020; Ramboll, 2021; Capolongo et al., 2020). The virus led to unfamiliar environments, new spatial...master thesis 2021
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Schepers, Job (author)Due to an increase demand for renewable and sustainable forms of energy, the offshore wind industry is growing rapidly. To make wind energy more cost-effective, new wind turbines are becoming larger in size and are placed further offshore. This results in deeper waters, making the installation more difficult. The current methodology uses a jack...master thesis 2021
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Schoemaker, Benjamin (author)Following the Paris Agreement, the national government of the Netherlands reached the Climate Agreement together with more than 100 organizations. As part of this agreement, the industry sector is faced with the ambitious goal of 59% CO2 reduction in 2030 with respect to 1990 levels. Since the naphtha cracking industry is one of the most...master thesis 2021
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Bons, Wouther (author)Currently, trained machine learning models are readily available, but their training data might not be (for example due to privacy reasons). This thesis investigates how pre-trained models can be combined for performance on all their source domains, without access to data. This problem is formulated as a Multiple-Source Domain Adaptation (MSA)...master thesis 2021
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van den Ouden, Florian (author)Applications for thermoelastic metamaterials, in which extremely positive, zero or negative thermal expansion is desired, are plentiful. Nevertheless they are rarely applied, due to their poor manufacturability. To enhance their applicability, a topology optimization framework is proposed and verified, able to generate finite thermoelastic...master thesis 2021
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El Uamari, Hamza (author)Stand capacity assessment is an essential factor in airport planning and design due to the large investments associated with airport development. Fulfilling anticipated demand while still considering future growth is key in airport master planning. In this paper, a mixed-integer linear programming optimisation model is proposed, which determines...master thesis 2021
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Rapp, S. (author)Airborne wind energy (AWE) is a novel technology that aims at accessing wind resources at higher altitudes which cannot be reached with conventional wind turbines. This technological challenge is accomplished using tethered aircraft or kites in combination with either onboard or ground-based generators. In the former case, the kinetic energy of...doctoral thesis 2021
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Wu, L. (author)As STT-MRAM mass production and deployment in industry is around the corner, high-quality yet cost-efficient manufacturing test solutions are crucial to ensure the required quality of products being shipped to end customers. This dissertation focuses on STT-MRAM testing, covering three abstraction levels: manufacturing defects, fault models, and...doctoral thesis 2021
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van der Pluijm, Ricardo (author)The Flying V is an innovative new aircraft concept currently being developed by the faculty of Aerospace Engineering at Delft University of Technology. This aircraft is a flying wing having a large sweep on the inner section, and a small sweep angle at the outer, giving the aircraft its characteristic V shape. The objective of this research is...master thesis 2021
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Sripathy, Kiran (author)Commercial FSI solvers employ partitioned FSI, wherein CFD and CSM solvers are used sequentially to resolve the coupling of interface displacement and stress/force. For strongly coupled problems, multiple sub-iterations of both the solvers are required for a stable and accurate solution. IQN-ILS framework requires fewer sub-iterations for...master thesis 2021
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Straathof, Robin (author)Brachytherapy (BT) is an essential component in the treatment of cervical cancer as it allows for locally delivering a high dose to the tumour with minimal trauma to surrounding tissues and organs at risk (OARs). However, in advanced cervical cancer patients commercially available BT applicators are particularly ill-adapted and therefore result...master thesis 2021
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Devia Pinzon, C.A. (author), Giordano, G. (author)We study dynamic networks described by a directed graph where the nodes are associated with MIMO systems with transfer-function matrix F(s), representing individual dynamic units, and the arcs are associated with MIMO systems with transfer-function matrix G(s), accounting for the dynamic interactions among the units. In the nominal case, we...journal article 2021
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Tajdari, F. (author), Toulkani, Naeim Ebrahimi (author)Aiming at operating optimally minimizing error of tracking and designing control effort, this study presents a novel generalizable methodology of an optimal torque control for a 6-degree-of-freedom Stewart platform with rotary actuators. In the proposed approach, a linear quadratic integral regulator with the least sensitivity to controller...journal article 2021