- document
-
Auerbach, Daniel (author)The human-machine interfaces (HMIs) in passenger cars have become more complex over the years, with touch screens replacing physical buttons and more options becoming available. This can result in multiple layers of menus that have to be navigated to perform simple tasks and therefore increase distraction. In addition to this, there is no...master thesis 2024
- document
-
Buriani, Gioele (author)This work introduces a novel methodology for the development of interpretable reduced-order dynamic models specifically tailored for jumping quadruped robots. Leveraging Symbolic Regression combined with autoencoder neural networks, the framework autonomously derives symbolic equations from data and fundamental physics principles capturing the...master thesis 2024
- document
-
Simonov, Alex (author)Machine learning, a pivotal aspect of artificial intelligence, has dramatically altered our interaction with technology and our handling of extensive data. Through its ability to learn and make decisions from patterns and previous experiences, machine learning is growing in influence on different aspects of our lives. It is, however, shown that...master thesis 2024
- document
-
Beltman, Maarten (author)Punctuality is a key performance indicator for any airline. Hub-and-spoke airlines are particularly committed to on-time arrivals to guarantee passenger connections. Flights that are delayed at departure need to compensate for the lost time whilst airborne. Because fueling takes place well before scheduled departure, predicted departure delays...master thesis 2023
- document
-
Maes, Vincent (author)The aerodynamic model of a combat aircraft is essential for its success and competitiveness compared to other combat aircraft. This thesis aims to research the most optimal machine learning model to create an aerodynamic model of a combat aircraft. The very large but still sparse, highly nonlinear dataset forms a challenge for using specific...master thesis 2023
- document
-
Ban, Hanyuan (author)Gaussian process regression (GPR), a potent non-parametric data modeling tool, has gained attention but is hindered by its high com- putational load. State-of-the-art low-rank approximations like struc- tured kernel interpolation (SKI)-based methods offer efficiency, yet lack a strategy for determining the number of grid points, a pivotal factor...master thesis 2023
- document
-
Dommerholt, Naomi (author)This study investigates the connection between macro-scale parameters (MSP) and micro-scale water quality parameters (MSWQP) in the Brantas River, employing a multivariate linear regression (MLR) modelling approach. The analysis reveals several critical insights into the complex dynamics of water quality in this river system.<br/><br/>Key...master thesis 2023
- document
-
Yap, Li-Toong (author)Site analysis to determine the loads experienced by wind turbines based on site-specific environmental conditions is typically done using either coupled aero-servo-elastic simulations for onshore wind turbines or coupled aero-servo-hydroelastic simulations in the case of offshore wind turbines. These simulations become computationally expensive...master thesis 2023
- document
-
de Fuijk, Dirk (author)Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...master thesis 2023
- document
-
de Wit, Gert (author)This studydives into factors influencing the shared e-moped usage in first- and last mile. Other studies show that the service area size, vehicle availability the shape of city and the temperature affect the shared e-moped usage. This study confirms the service catchment, temperature and vehicle availability factors. It adds to this that also...master thesis 2023
- document
-
Watchorn, John (author)The purpose of this study has been to develop an aerodynamic load model for the energy harvesting (traction) phase of leading-edge inflatable (LEI) kites operating in an airborne wind energy (AWE) context. The load model stems from multivariate polynomial regression analyses expressing the airfoil lift, drag and moment coefficients as polynomial...master thesis 2023
- document
-
Ahmad, Amna (author)The Bayesian approach is a very important approach for tackling problems in statistics. It involves choosing a distribution that reflects the prior knowledge and thus takes all knowledge into account in contrast to the frequentist approach. It also assumes that the parameters (the regression coefficients) follow a distribution called the...bachelor thesis 2023
- document
-
Doan, Kevin (author)The 21st century has seen a significant increase in the global prevalence of mental health problems, affecting almost a billion people. These conditions not only reduce the quality of life for individuals but also lead to stigmatization, discrimination, and social isolation. The COVID-19 pandemic has further exacerbated mental health issues,...master thesis 2023
- document
-
van Schagen, Sebastiaan (author)Insurers are required to have buffers to be able to meet financial obligations that result from their portfolios, which are determined using a cash flow model. The input of such a cash flow model consists among of things, of two mortality tables and the portfolio of an insurer. Mortality rates are simulated using the Lee-Carter model. These...master thesis 2023
- document
-
Tenders in the Dutch construction industry: The impact of client decisions on the tender competitionGroen, Bas (author)As a result of decreasing competition within the procurement of large construction projects in the Dutch construction sector, the need arises to understand the mechanisms behind the competition. Especially how decisions by clients on the procurement of construction projects impact the number of competitors. When this is understood, clients can...master thesis 2023
- document
-
Hoefnagel, Kaj (author)Computational fluid dynamics (CFD) is an important tool in design involving fluid flow. Scale-resolving CFD methods exist, but they are too computationally expensive for practical design. Instead, the relatively cheap Reynolds-averaged Navier-Stokes (RANS) approach is the industry standard, specifically models based on the Boussinesq hypothesis,...master thesis 2023
- document
-
de Reij, Segher (author)This research presents the design and implementation of a fault diagnosis filter for a high-fidelity simulation model of the AB383 wire bonder. Fault diagnosis, which consists of detecting, isolating, and estimating faults, enables more effective maintenance strategies and potentially mitigates costly downtime in high-precision motion and...master thesis 2023
- document
-
Licurici, Teodor (author)Estimating the transmembrane currents travelling through the epicardium and local activation times based on atrial epicardial electrograms can greatly help in the study of cardiac arrhythmias such as atrial fibrillation. This work focuses on the accurate estimation of the aforementioned signals and features. To do this, two least squares-based...master thesis 2023
- document
-
Griekspoor, Wessel (author)Wealth inequality exists all over the world. This can be seen as a social problem because it violates accepted norms of egalitarian distribution. Moreover, wealth inequality can negatively affect a number of areas, including economic growth. However, wealth inequality also has advantages. For example, it provides incentives to engage in risky...master thesis 2023
- document
-
Thamban, Arun (author)From the motion of electrons in an atom to the orbits of celestial bodies in the cosmos, governing equations are essential to the characterisation of dynamical systems. They facilitate an understanding of the physics of a system, which enables the development of useful techniques such as predictive control. An increasingly popular method to...master thesis 2023