Searched for: subject%3A%22generalization%22
(1 - 20 of 2,755)

Pages

document
Olsthoorn, Mitchell (author)
Software testing is important to make sure that code works as intended. Traditionally, this verification process has relied on manual testing, which is not only time-consuming but also susceptible to human errors. Through the use of automated test case generation techniques, we can automate this process and reduce the time and effort needed to...
doctoral thesis 2024
document
Brouwer, Lucie (author)
master thesis 2024
document
Wiegersma, Gerard (author)
Nuclear energy has found widespread application in navies across the globe. This thesis explores the potential integration of generation IV (very) Small Modular Reactor (SMR) technology for future surface combatants, focusing on the Very High-Temperature Reactor modelled as vSMR and a Molten Salt Reactor as SMR. The design impact of using...
master thesis 2024
document
Kooij, Matthew (author)
Generative AI is expected to have a significant impact on how business is done, especially for knowledge-intensive domains. Professional usage amongst knowledge workers is already widespread and many of them believe that LLM use for work will make them more efficient, help them generate ideas, and improve the quality of their work. Yet, the...
master thesis 2024
document
Wang, Zhiheng (author)
Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. Despite their effectiveness, learning-to-rank (LTR) models often operate as complex systems, making it difficult to discern the factors influencing their ranking decisions. This lack of transparency raises concerns about...
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
Kaptein, Stef (author)
The online presence of e-commerce platforms, publishers, and other businesses has been increasing with the rise of internet use. These companies regularly expose their (potential) customers to massive amounts of media and products. It is vital for these companies to elicit interactions from these individuals in order to sell products or...
master thesis 2024
document
Tamsma, Jeltje (author)
The adoption of ChatGPT among students for academic assistance, including report writing, has sparked debates on its integration into secondary education. Despite initial resistance, ChatGPT has firmly entrenched itself in secondary schools, necessitating a comprehensive exploration of its adoption and the design strategies to facilitate this...
master thesis 2024
document
Hols, Jesse (author)
Performance-driven generative design has been commonly used in engineering applications. In addition to performance metrics, aesthetics play an important role in the acceptance of generatively designed forms. When generating these shapes using generative programs, it is not clear in advance what the outcome will be, and thereby what they will...
master thesis 2024
document
Chen, Ivo (author)
Large language models (LMs) are increasingly used in critical tasks, making it important that these models can be trusted. The confidence an LM assigns to its prediction is often used to indicate how much trust can be placed in that prediction. However, a high confidence can be incorrectly trusted if it turns out to be incorrect, also known as a...
master thesis 2024
document
Cisneros Acevedo, Daniel (author)
Recent advancements in deep learning for aircraft engine fault detection have been predominantly focused on research using simulated datasets. Despite significant progress, the gap between simulated and real-world data underscores a pressing need for models that are more applicable and adaptable to the aerospace industry. This discrepancy stems...
master thesis 2024
document
van der Wel, Iris (author)
Data-driven health research, specifically the development of AI models, is hampered by poor data availability and associated administrative burdens, caused complex and fragmented data protection regulation. To reap the benefits of using high quality health data, while safeguarding data protection of patients, the synthetic data generation is...
master thesis 2024
document
Zhu, P. (author)
Questions are critical for information-seeking and learning. Automatic Question Generation (AQG) involves the subjects of Information Retrieval (IR) and Natural Language Processing (NLP), and focuses on automatically creating questions for various applications, subjects which have been studied for decades. In this thesis, we study how to create...
doctoral thesis 2024
document
Kropf, Kylian (author)
This thesis proposes and develops an interface and model in which advanced optimisation for general employee scheduling is made available to non-experts in computer science or optimisation. The interface teaches, guides, configures, dynamically creates a constraint programming (CP) model, iteratively improves, decreases black box properties,...
master thesis 2024
document
Woernle, Severin (author)
Lower-limb exoskeletons often use trajectory-tracking control to define the device's motion and assistance level. One challenge lies in ensuring a smooth and comfortable interaction between the user and the robotic device by defining a reference trajectory. While recent research has focused on generating individualized gait patterns based on...
master thesis 2024
document
van Tooren, Tim (author)
This Master’s thesis investigates strategies for Yonderland, Europe's largest premium outdoor retailer, to attract and retain Generation Z, a demographic not previously targeted by the company. Through extensive research, including qualitative and quantitative methods, a literature review, interviews with stakeholders, and multiple creative...
master thesis 2024
document
Shirali Hossein Zade, R. (author)
The genome encompasses an organism’s full DNA, organized into chromosomes within the cell nucleus. Humans have 46 paired chromosomes, and within these pairs, genetic information is grouped as haplotypes—genetic packages passed from one generation to the next, ensuring genetic diversity. While DNA sequencing produces short fragments or reads,...
doctoral thesis 2024
document
de Bruin, Niels (author)
Normalizing flows have demonstrated their ability to learn complex and high-dimensional distributions. However, the behavior of normalizing flow likelihoods are not yet fully understood, particularly when exposed to outlier data, where it has been observed that large likelihoods are often assigned to inputs that are substantially different from...
master thesis 2024
document
Kirbeyi, Doruk (author)
This research explores the landscape of dataset generation through the lens of Probabilistic Principal Component Analysis (PPCA) and β-Conditional Variational Auto-encoder (β-CVAE) models. We conduct a comparative analysis of their respective capabilities in reproducing datasets that mirror the distribution of the original data that comes from a...
bachelor thesis 2024
document
Taklimi, Sam (author)
The objective of this project is to train a model that transforms a tree with its foliage into only its branch structure. This is achieved by employing machine-learning techniques, specifically Generative Adverserial Networks (GANs). By utilizing the proposed method, a predictive model is built that automatically minimizes its own error function...
bachelor thesis 2024
Searched for: subject%3A%22generalization%22
(1 - 20 of 2,755)

Pages