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Lopez Restrepo, S. (author), Yarce Botero, A. (author), Pinel, Nicolás (author), Quintero, O. L. (author), Segers, Arjo (author), Heemink, A.W. (author)This work proposes a robust and non-Gaussian version of the shrinkage-based knowledge-aided EnKF implementation called Ensemble Time Local H<sub>∞</sub> Filter Knowledge-Aided (EnTLHF-KA). The EnTLHF-KA requires a target covariance matrix to integrate previously obtained information and knowledge directly into the data assimilation (DA). The...journal article 2022
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Calzolari, Davide (author), Della Santina, C. (author), Giordano, Alessandro Massimo (author), Albu-Schaffer, Alin (author)Implementing dynamic legged locomotion entails stabilizing oscillatory behaviors in complex mechanical systems. Whenever possible, locomotion algorithms should also exploit the improved capabilities of elastic elements added to the structure to improve efficiency and robustness. This work aims to shed some light on implementing generic dynamic...conference paper 2022
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Lassooij, Ronny (author)At the UN conference of 2015, the promotion of inland waterway transport (IWT) was named as a Sustainable Development Goal by the United Nations. While IWT has been identified to make goods transport more CO2- efficient, the long-term viability of the Dutch IWT sector is at risk.<br/><br/>Currently, Dutch IWT businesses benefit from increased...master thesis 2021
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Scheffers, Evelien (author)Distribution system robustness estimation is crucial in performing a substantiated trade-off in early-stage ship design. To improve the current robustness estimation, a maritime robustness approach (de Vos, 2018) is compared to and verified by a general network robustness approach (Van Mieghem, 2010). The first studied approach is verified by...master thesis 2021
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Willems, Douwe (author)For centuries humanity has been engineering the second largest river system in the Netherlands, the river Meuse system. This resulted in improvements for the shipping and water safety functions, but simultaneously has had a negative impact on other functions of the river Meuse system. Nature and water quality, for example, degraded due to the...master thesis 2021
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Emanuel Febrianto Prakoso, Emanuel (author)This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...master thesis 2021
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Thakur, Suryawardhan (author)Public transport networks are vulnerable to disruptions which have negative impacts on passengers, operator and society. New rescheduling link in PT networks has potential to increase its robustness value against disruptions. The research project deals with identifying the optimal locations of such rescheduling infrastructure in PT network which...master thesis 2021
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van Baarle, Ilmo (author)Covid-19 has proven how uncertain the future can be. However, traffic models fail to fully acknowledge this uncertainty. Therefore, decisions made based on these models are not very robust. In this research, Robust Decision Making (RDM) method is applied on a macro-level traffic model made for the municipality of Groningen. This method,...master thesis 2021
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Damianakis, Nikos (author)With the current urge around the globe for switching to “green energy” and Renewable Energy Sources (RES) utilization, the electrification of the transportation sector has become a necessity. While the emerging Electric Vehicles (EVs) can provide several benefits to the power grid, such as voltage and frequency regulation and power quality...master thesis 2021
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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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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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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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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