Searched for: subject%3A%22process%22
(1 - 20 of 2,689)

Pages

document
van den Berg, Jens (author)
Decision-making in professional fields has made a stark transition away from utility as the comparative metric in neoclassical economic frameworks. The result of which means a step towards the use of non-equatable variables for calculating the comparability between material, energy, and fiscal costs. While the traditional methods have their...
master thesis 2024
document
Noffke, Deborah (author)
The problem of global warming is becoming every day more and more pressing, leading to the necessity of reducing harmful emissions especially in the shipping sector. Most ships sail with Internal Combustion Engines, reason why it is beneficial to keep using this system, with the prospect of being able, though, to cut down on the emissions. This...
master thesis 2024
document
Roozendaal, Tim (author)
The focus of this thesis is the hydrodynamic limit of the Brownian Energy Process (BEP) and the<br/>Asymmetric Brownian Energy Process (ABEP) in infinite volume. The thesis starts by introducing some general theory about Markov processes, after which the topic of Markov duality is introduced. A number of relevant interacting particle systems ...
master thesis 2024
document
O'Dwyer Wha Binda, Jahson (author)
With the increasing popularity of Large Language Models (LLMs), fine-tuning them has become increasingly computationally expensive. Parameter Efficient Fine-Tuning (PEFT) methods like LoRA and Adapters, introduced by Microsoft and Google, respectively, aim to reduce the number of trainable parameters, with the current state-of-the-art combining...
master thesis 2024
document
Lakerveld, Stijn (author)
Salt Marshes are a coastal ecosystem which have numerous benefits as coastal defense such as wave attenuation and can adapt to sea level rise. Wave flume tests, using a scale model of a cross-section of a salt marsh adjacent to a dike, were conducted in the Hydraulic Laboratory, to quantify the effectiveness of such a salt marsh system as flood...
master thesis 2024
document
Chan, Kou Wai (author)
In July 2021, an extraordinary precipitation led to severe flooding across Europe, particularly affecting South Limburg in the Netherlands, causing significant damage. In response, the Dutch government is seeking methods and new ways to mitigate the effects of future flash floods. Consequently, Waterschap Limburg (Limburg Water Board) initiated...
master thesis 2024
document
Verduijn, Luc (author)
In the past year, generative AI has made significant leaps, making it more accessible, helpful, and known to the broader public. This technology promises to change how we work, automating repetitive tasks, generating content, and assisting in problem-solving scenarios easier. This research explores how implementing this new technology will...
master thesis 2024
document
Keulen, D. (author)
Vaccination is a strong and effective way to prevent spreading of infectious diseases and promotes global health. In the future, the importance of vaccines is expected only to increase, driven by factors such as increased international traveling, higher healthcare expenditures, and a growing population. To meet the growing demands, it is...
doctoral thesis 2024
document
Koetzier, Lennart (author)
Motivation: Effective management of liver tumors through thermal ablation requires precise monitoring of the ablation zone to ensure successful treatment outcomes. Computed tomography (CT) thermometry offers a promising non-invasive solution to monitor if tumor cells have been heated to the lethal temperature threshold. However, achieving...
master thesis 2024
document
Pavez Jara, J.A. (author)
This thesis research investigated the dynamics of nutrient release and the formation of melanoidins during thermal hydrolysis processes (THP) of waste activated sludge (WAS) preceding mesophilic anaerobic digestion (AD). In Chapter 2, a fractionation of THP-sludge allowed for researching the distribution of nutrients and melanoidins over the...
doctoral 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
Yin, Lanke (author)
This work introduces a novel training strategy for Gaussian Process (GP) models aimed at improving their predictive accuracy and uncertainty quantification capabilities over extended prediction horizons. This improvement is highly relevant for applications in model predictive control (MPC) in the autonomous driving domain. Learning-based MPC...
master thesis 2024
document
Usa, Lyana (author)
Olfactory learning in <i>Drosophila </i>larvae exemplifies efficient neural processing in a small-scale network with minimal power consumption. This system enables larvae to anticipate important outcomes based on new and familiar odor stimuli, a process crucial for survival and adaptation. Central to this learning mechanism is the olfactory...
master thesis 2024
document
Owen, C.C. (author)
The imminence of anthropogenic climate change has motivated a global energy transition towards sustainable power generation. Offshore wind—an important contributor to the energy transition—is expanding, not only in turbine size and number of installations, but also into regions with harsher environmental conditions. One of those conditions in...
doctoral thesis 2024
document
Oderwald Blázquez, Adrian (author)
Blockchain consortia uphold value-addition through collaboration between organizations, by exploring, prototyping and innovating together. Blockchain technology presented itself as a new solution to the sharing of data proofs since 2008, with certain components such as smart contracts and privacy-enhancing components currently at different...
master thesis 2024
document
Liscio, E. (author)
Human values are the abstract motivations that drive our opinions and actions. AI agents ought to align their behavior with our value preferences (the relative importance we ascribe to different values) to co-exist with us in our society. However, value preferences differ across individuals and are dependent on context. To reflect diversity in...
doctoral thesis 2024
document
Chin-A-Pauw, Laurens (author)
In this thesis, we aim to improve the application of deep reinforcement learning in portfo- lio optimization. Reinforcement learning has in recent years been applied to a wide range of problems, from games to control systems in the physical world and also to finance. While reinforcement learning has shown success in simulated environments (e.g....
master thesis 2024
document
Jungbacker, Caspar (author)
Large Eddy Simulation (LES) is a mathematical technique for performing simulations of turbulent flows, such as those found in the Earth’s atmosphere. Compared to traditional numerical weather and climate models, LES is more accurate in representing turbulent processes and cloud dynamics. The computational burden of LES, however, have histor-...
master thesis 2024
document
Wong, Olivia (author)
This research provides a framework to evaluate participation processes and their contribution to citizen support for top-ups. The findings have illustrated how participation processes contribute to the support for top-ups by using a context-specific approach, adjusting the level of participation to the needs of both current and future residents,...
master thesis 2024
document
Chai, Anbang (author)
The Optimal Power Flow (OPF) problem, a cornerstone of power system operations, has gained increased attention since its inception by Carpentier in 1962. OPF is fundamentally an optimization challenge aimed at enhancing electric power system operations within the bounds of physical and operational constraints. Over the decades, various...
master thesis 2024
Searched for: subject%3A%22process%22
(1 - 20 of 2,689)

Pages