- document
-
van Santen, Tom (author)In October 2022, all member states of the International Civil Aviation Organization (ICAO) committed to a net-zero CO2 future by 2050, marking a significant shift from compensating for emissions to actively reducing them in aviation. This commitment acknowledges the critical role of reducing greenhouse gas emissions in the transport sector,...master thesis 2024
- document
-
de Vries, Floris (author)The present study focuses on utilizing the Bayesian Optimization Machine Learning algorithm for the weight optimization of a shear web of given size (a x b), material properties, boundary conditions, and loading conditions. The study is carried out in cooperation with GKN Fokker Aerostructures. The main objective of the research is to replace a...master thesis 2024
- document
-
Wang, Chenliangge (author)Against the backdrop of the increasing maturity of connected automatic driving technologies and the gradually expanding market share of CAVs, this thesis explores the optimal traffic management strategies to cope with road closures in the context of Connected and Automated Vehicles (CAVs) and Intelligent Transportation Systems (ITS). <br/>A...master thesis 2024
- document
-
Bisbal Regidor, Àlex (author)Within the context of the new wave of eVTOL aircraft development, Cyclotech GmbH has been working on the development of cyclorotors, a type of propeller consisting of rotating blades along a common longitudinal axis, where the pitch angle of the blades is actively controlled through what is known as a pitch curve. This thesis proposes a...master thesis 2024
- document
-
Manss, C. (author)The operation of robotic systems on extraterrestrial missions involves long distance communications, which have large delays and make the control of any agent complicated. This problem becomes even more dominant if multiple robotic systems are used. One solution to this problem is to increase the autonomy of each robotic system such that each...doctoral thesis 2024
- document
-
Nair, Ruben (author)Mixed-integer optimization problems, incorporating both discrete and continuous variables, present unique challenges across various domains such as computer science, finance, logistics, and healthcare. Evolutionary Algorithms (EAs) have emerged as powerful optimization techniques capable of tackling such complex problems in either the discrete...master thesis 2024
- document
-
Andringa, Jilles (author)Machine learning models have improved Prognostics and Health Management (PHM) in aviation, notably in estimating the Remaining Useful Life (RUL) of aircraft engines. However, their 'black-box' nature limits transparency, critical in safety-sensitive aviation maintenance. Explainable AI (XAI), particularly Counterfactual (CF) explanations, offers...master thesis 2024
- document
-
Bechan, Rushil (author)The abstract outlines a study focusing on improving the design approach for flexible dolphins, vital marine structures used for vessel berthing and mooring. Current design methodologies, particularly those outlined in the CROW C1005 handbook (2018), are questioned due to potential conservatism stemming from insufficiently calibrated partial...master thesis 2024
- document
-
Molhoek, Jord (author)Many real-world problems fall in the category of sequential decision-making under uncertainty; Markov Decision Processes (MDPs) are a common method for modeling such problems. To solve an MDP, one could start from scratch or one could already have an idea of what good policies look like. Furthermore, there could be uncertainty in this idea. In...master thesis 2024
- document
-
Sarkisian, David (author)This thesis explores how forecasts of Dutch government bond yields can be improved by extending the current Dynamic Nelson-Siegel (DNS) model, used by the Dutch State Treasury Agency (DSTA), with stochastic volatility modeling and a Bayesian approach to parameter estimation and forecasting. The primary goal was to determine if the model...master thesis 2024
- document
-
Katona, Misha (author)Through several contractions, stiff competition, and increasing passenger expectations, airports must evolve continually. One of the main avenues for this has been improving the efficiency of the security check- points, which are airports’ primary bottlenecks. Operational optimisation methods, such as resource and task scheduling are relatively...master thesis 2024
- document
-
Ciobotia, Ioana (author)The present study, which was carried out in collaboration with GKN Fokker, focuses on incorporating bird strike crashworthiness requirements within a multidisciplinary optimization (MDO) framework. During the preceding three-month internship in the same company, a pivotal contribution to this project was the development of an Abaqus interface...master thesis 2024
- document
-
Hemel, M. (author), Peters, D.J. (author), Schweckendiek, T. (author), Jonkman, Sebastiaan N. (author)The historic canal walls of Amsterdam, stretching 200 km in total, are constructed as a masonry wall on a timber deck supported by vertical timber piles. Understanding the resistance against lateral failure of these quays has been challenging due to uncertainties in their working principles, geometry, soil and structural properties. This...journal article 2024
- document
-
Mendoza Lugo, M.A. (author), Nogal Macho, M. (author), Morales Napoles, O. (author)Around the world, an increasing amount of bridge infrastructure is ageing. The resources involved in the reassessment of existing assets often exceed available resources and many bridges lack a minimum structural assessment. Therefore, there is a need for comprehensive and quantitative approaches to assess all the assets in the bridge network to...journal article 2024
- document
-
Doğan, D. (author), Leus, G.J.T. (author)We consider the problem of recovering complex-valued block sparse signals with unknown borders. Such signals arise naturally in numerous applications. Several algorithms have been developed to solve the problem of unknown block partitions. In pattern-coupled sparse Bayesian learning (PCSBL), each coefficient involves its own hyperparameter...journal article 2024
- document
-
Dash, T.K. (author), Driessen, J.N. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)The challenge of reconstructing the Doppler spectrum of a precipitation-like event observed by a fast-scanning weather radar is addressed. A novel method is proposed where the echo sequence in time is assumed to be a complex Gaussian process with a known covariance structure. It is a two-step approach where the first step is the estimation of...conference paper 2024
- document
-
Yang, F. (author), Fu, Dafang (author), Zevenbergen, C. (author), Boogaard, Floris C. (author), Singh, Rajendra Prasad (author)Evaluation of the hydrological performance of grassed swales usually needs long-term monitoring data. At present, suitable techniques for simulating the hydrological performance using limited monitoring data are not available. Therefore, current study aims to investigate the relationship between saturated hydraulic conductivity (K<sub>s</sub>...journal article 2024
- document
-
Masfara, La ODE Marzujriban (author), Weemstra, C. (author)The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensional model spaces due to Hamilton's equations guiding the sampling process. For weakly non-linear problems, linearizing the forward problem enhances this efficiency. This study integrates this linearization with geological prior knowledge for...journal article 2024
- document
-
Joseph, G. (author)The convergence of expectation-maximization (EM)-based algorithms typically requires continuity of the likelihood function with respect to all the unknown parameters (optimization variables). The requirement is not met when parameters comprise both discrete and continuous variables, making the convergence analysis nontrivial. This paper...journal article 2024
- document
-
van der Drift, R. (author), de Haan, J. (author), Boelhouwer, P.J. (author)As housing development and housing market policies involve many long-term decisions, improving house price predictions could benefit the functioning of the housing market. Therefore, in this paper, we investigate how house price predictions can be improved. In particular, the merits of Bayesian estimation techniques in enhancing house price...journal article 2024