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van Leeuwen, Sander (author)
Language is an intuitive and effective way for humans to communicate. Large Language Models (LLMs) can interpret and respond well to language. However, their use in deep reinforcement learning is limited as they are sample inefficient. State-of-the-art deep reinforcement learning algorithms are more sample efficient but cannot understand...
master thesis 2023
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Tjiong, Bailey (author)
Containerization has become a fundamental component of software development and the continuous integration and continuous delivery (CI/CD) pipeline. However, the energy overhead of containerization solutions such as Docker results not only in higher costs but also has environmental consequences. Currently, the energy efficiency of containers is...
master thesis 2023
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Beţianu, Miruna (author)
Large language models (LLMs) increasingly serve as the backbone for classifying text associated with distinct domains and simultaneously several labels (classes). When encountering domain shifts, e.g., classifier of movie reviews from IMDb to Rotten Tomatoes, adapting such an LLM-based multi-label classifier is challenging due to incomplete...
master thesis 2023
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Liu, TIANYI (author)
With the widespread application of artificial intelligence, centralized machine learning approaches, which require access to users' local data, have raised concerns about data privacy. In response, federated learning, an architecture that aggregates models trained locally with local data, has been proposed. This approach addresses the data...
master thesis 2023
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Peppelman, Christian (author)
Non-invasive head-worn sensors are an upcoming field of interest. Most commercial sensors and sensors presented in research papers are limited in their capabilities and require frequent user interaction. In this Thesis, we research the possibilities of overcoming some of these limitations and extending the capabilities of these sensors.
master thesis 2023
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Klabér, Rahim (author)
The introduction of Blockchain technology has led to the idea of Decentralized Autonomous Organizations.<br/>(DAOs). DAOs enable decentralized and transparent collective wealth, allowing groups of individuals to pool their funds for collective management. DAOs rely on complex smart contracts to function. Despite Bitcoin being the most popular...
master thesis 2023
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SUN, YUE (author)
Surface acoustic wave (SAW) is widely used in biological research and sensor applications, acomprehensive understanding of SAW propagation and visualization on suspended 2D membranes is crucial for the manipulation of nanoparticles in biological research and sensitivity improvement of SAW sensors based on 2D material. The initial step of this...
master thesis 2023
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Lu, Dongxu (author)
Child helplines play a crucial role in delivering expert assistance to young clients facing challenges and seeking support. While counselling is instrumental in enhancing children’s mental well-being, the limited number of experienced counsellors is inadequate given the substantial workload. At this point, effective training to volunteer...
master thesis 2023
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Lodha, Sneha (author)
<br/>One of the contributing factors to climate change is the release of gases, particularly carbon dioxide (CO2), which is amplified by the expanding E-commerce industry. E-commerce enterprises heavily depend on recommender systems as a means to incentivize consumers towards making product purchases. This master's thesis investigates the...
master thesis 2023
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WANG, HAORAN (author)
In contrast to the prevalent focus on real photos in computer vision research, we present a contribution by making the Ot &amp; Sien dataset machine learning-ready for object detection tasks in illustrations. We refer to the new dataset as Ot &amp; Sien++ that is composed of scanned images of children’s book illustrations, thereby venturing into...
master thesis 2023
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Timmerman, Kirsten (author)
When making decisions, people are automatically guided by their moral compass. However, AI agents need to be conditioned in order to be steered towards moral behaviour. An environment that can be used to train and test agents is the Jiminy Cricket environment. The Jiminy Cricket environment consists of a set of text-based narrative games, where...
bachelor thesis 2023
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Boudier, Kenzo (author)
In our everyday life, people interact more and more with agents. However these agents often lack a moral sense and prioritize the accomplishment of the given task. In consequence, agents may unknowingly act immorally. Little research or progress has been done to endow agents with human morality and an internal sense of right and wrong. As of...
bachelor thesis 2023
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De Leeuw, Nathaniël (author)
<br/>This paper evaluates the performance of an automated explainable model, Moral- Strength, to predict morality, or more pre- cisely Moral Foundations Theory (MFT) traits. MFT is a way to represent and divide morality into precise and detailed traits. This evaluation happens in the Jiminy Cricket environment, an environ- ment composed of 25...
bachelor thesis 2023
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Goedemondt, Koen (author)
This thesis describes the design and implementation of µLightDigit, which is the second iteration of the LightDigit project: a contactless air-writing system based on ambient light detection with embedded deep learning using only simple photodiodes. The system is able to classify digits 0–9 written in the air by detecting the dynamic hand shadow...
master thesis 2022
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Kempen, Alexander (author)
Explainable AI is the field concerned with trying to make AI understandable to humans. While efforts have resulted in significant improvement in research and practical methods of Explainable AI, there is an urgent need for additional research and empirical studies. The academic research gaps identified in this thesis show that Explainable AI is...
master thesis 2022
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Bouman, Nikki (author)
Collaboration in teams composed of both humans and automations has an interdependent nature, which demands calibrated trust among all the teammembers. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automations occasionally fail to do their job, which leads to a...
master thesis 2022
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Bi, Haoran (author)
Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss. It is crucial to develop a reliable weather forecasting system that can predict such extreme events to mitigate the effect of heavy precipitation and increase resilience to these hazards....
master thesis 2022
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Tan, Yicong (author)
Literature on medical imaging segmentation claims that self-attention-based Transformer blocks perform better than convolution in UNet-based architectures. This recently touted success of Transformers warrants an investigation into which of its components contribute to its performance. Moreover, previous work has a limitation of analysis only at...
master thesis 2022
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de Groot, Lucan (author)
Visible Light Communication (VLC) has been gaining interest in the industry and academia for the last decade. VLC enables a high-speed communication alternative to conventional radio such as Bluetooth or WiFi and presents a solution to the 'spectrum crunch'. More recently, the combination of energy harvesting and VLC has been explored to enable...
master thesis 2022
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Wang, Zhiyi (author)
Deep-learning models are commonly used in short-term precipitation forecasting. However, most deep-learning models are likely to produce blurry output problems. In order to get realistic and accurate results, AENN, a variant of Generative Adversarial Networks (GANs), has been developed. The AENN implements an additional temporal discriminator to...
master thesis 2022
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