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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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Noorthoek, Sterre (author)
In addition to delivering groceries at customers’ doorsteps, online supermarket Picnic goes the extra mile by aiming to improve customer satisfaction. For instance, by providing cooking inspiration to customers through a recently launched recipe page in the app. This feature presents new recipes weekly and allows customers to easily add the...
master thesis 2022
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Bauman, Niels (author)
Advances in data science have caused an increase in the use of Artificial Intelligence (AI), specifically Machine Learning (ML), throughout various fields. Not only in research but in the industry as well, has ML been receiving increasing amounts of interest. Many companies rely on ML models to increase the efficiency of...
master thesis 2022
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Zhang, Haiyin (author)
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...
master thesis 2022
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Zhang, Xiangxie (author)
Location information is essential for the ViT model. Image data has three types of location information: absolute location, relative direction, and relative distance. Various position embeddings methods have been used to introduce location information to the ViT model. Some existing methods are absolute position embeddings, relative position...
master thesis 2022
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Habte, Koos (author)
Monitoring and analyzing human movement is used in many fields, ranging from healthcare and industrial applications to sports analytics. To provide a football player or their coach with insight into their performance during a game, or their technical development over time, many methods are available such as camera setups and smart vests. However...
master thesis 2022
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Danaei, Deniz (author)
<br/>The fight against the illegal hunting of African wildlife is a never-ending process. In order to preserve animal habitats and save them from extinction, many national parks utilize surveilling solutions to prevent, detect and locate intruders. One strategy to detect and locate the illegal hunters or so-called \textit{poachers} is to detect...
master thesis 2021
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Ruighaver, Ewoud (author)
In recent years the advent of multi-omic techniques have shown great promise in the field of oncology. In light of these advancements, this thesis focuses on the use of multiple data types to find methylation markers around transcription start site regions for colorectal cancer in the cell-free DNA (cfDNA) domain. It combines several methods of...
master thesis 2021
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Gao, Lingyun (author)
master thesis 2021
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Bánsági, Aurél (author)
In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...
master thesis 2021
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Kostense, Bastijn (author)
The COVID-19 pandemic is influencing the Dutch economy heavily. More so, small and medium-sized enterprises, also known as SMEs, are notoriously unstable and as a result, could be even more heavily affected by the coronavirus outbreak. The first major lockdown in The Netherlands was instated on March 23, 2020, which introduced several new...
master thesis 2021
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Schop, Melvin (author)
Tacit knowledge, unlike explicit knowledge, is not easily codifiable, yet important for machine learning models. This research explores a method to gather tacit knowledge about humor using a simple text-based party game, building on the existing idea of using games to gather tacit knowledge from crowds of people. Players propose prompts, which...
bachelor thesis 2021
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Zlatkutė, Emilija (author)
With the increase of anthropomorphic conversational agents, the research on the effects of anthropomorphism in conversational agents is on the rise. However the studies cannot seem to agree on many of the raised questions and the research on the proper design of conversational agents is still lacking. This research paper attempted to contribute...
bachelor thesis 2021
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Kalia, Neha (author)
The manual process of collecting and labelling data required for machine learning tasks is labour-intensive, expensive, and time consuming. In the past, efforts have been made to crowdsource this data by either offering people monetary incentives, or by using a gamified approach where users contribute to databases as a side-effect of playing an...
bachelor thesis 2021
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