Searched for: subject%3A%22Regression%22
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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
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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
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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
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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
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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
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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
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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
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Groen, 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
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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
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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
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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
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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
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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
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Yang, Q. (author)
In traditional reinforcement learning (RL) problems, agents can explore environments to learn optimal policies through trials and errors that are sometimes unsafe. However, unsafe interactions with environments are unacceptable in many safety-critical problems, for instance in robot navigation tasks. Even though RL agents can be trained in...
doctoral thesis 2023
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van den Bos, Mim (author)
Decision trees make decisions in a way interpretable to humans, this is important when machines are increasingly used to aid in making high-stakes and socially sensitive decisions. While heuristics have been used for a long time to find decision trees with reasonable accuracy, recent approaches find fully optimal trees. Due to the computational...
bachelor thesis 2023
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Hopman, Luuk (author)
Asphalt concrete is one of the most widely used materials in modern road construction. Predicting its functional properties is crucial in the design of new asphalt concrete mixtures. However, current prediction models are limited in accuracy and applicability due to the complex nature of asphalt concrete properties. This thesis researches the...
master thesis 2023
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Koppert, Reint (author)
Scatterometry is a non-destructive metrology technique widely used in the semiconductor industry for the reconstruction of periodic structures from diffraction measurements. This involves solving a so-called inverse problem, which can be done by tuning the geometry parameters of a forward model such that the discrepancy between the measured...
student report 2023
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Mussert, Rosalie (author), Claesen, Mathilde (author), Ursem, Leon (author), Kerkhof, Joost (author)
Arribadas, a phenomenon of mass nesting behavior of sea turtles, attract millions of olive ridley turtles (Lepidochelys olivacea) to Playa del Ostional, a nesting beach in Costa Rica. The timing and size of these arribadas are influenced by various environmental factors, including temperature, tides, and moon phase [1]. The sea turtles are...
student report 2023
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Tavio Y Cabrera, Emilio (author)
Soft robots have the potential to accelerate robotiza- tion in areas that are complex and impractical for hard robots. The use of soft materials results in a safe and flexible design that is unattainable for hard robots. However, this attribute results in the need for new control approaches and strategies. Hybrid controllers are a relative...
master thesis 2023
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Schriemer, Sterre (author)
Frequentist statistics and Bayesian statistics are the two main approaches to statistical inference. The frequentist approach is commonly integrated into academic curricula, while the Bayesian approach is less frequently employed. However a comparison of the approaches, further investigating their shortcomings and advantages, might give a better...
bachelor thesis 2023
Searched for: subject%3A%22Regression%22
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