Searched for: contributor%3A%22Yang%2C+M.+%28mentor%29%22
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Hillen, Justus (author)
In the wake of the 2015 Paris Agreement on climate change, global efforts have intensified to reduce carbon emissions and transition to renewable energy sources such as solar and wind power. However, the asymmetry in energy production and consumption among nations, coupled with the seasonal and temporal intermittency and geographical variations...
master thesis 2023
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Aydin, Mustafa (author)
In the contemporary global environment, supply chains are increasingly vulnerable to disruptions, with environmental and supplier disturbances posing frequent challenges. This research aimed to understand the influence of a systematic supplier selection approach, combined with an effective risk mitigation strategy, on supply chain performance...
master thesis 2023
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Menting, Esmée (author)
The executive summary offers a concise overview of the thesis research conducted, focusing on enabling risk management for parachute mortars on sounding rockets from a socio-technical perspective. The study aimed to address safety and performance risks associated with these systems and bridge the gap between theoretical risk management methods...
master thesis 2023
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de Beer, Arne (author)
This paper presents a study focused on developing an efficient signal processing pipeline and identifying suitable machine learning models for real-time gesture recognition using a testbed consisting of an Arduino Nano 33 BLE and three OPT101 photodiodes. Our research aims to address the challenges of limited computational power whilst...
bachelor thesis 2023
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van den Broek, Sem (author)
Visible light sensing is a field of research that creates new possibilities for human-computer interaction. This research shows the viability of designing a system for detecting hand gestures using a cost-effective detection circuit employing 3 light-sensitive photodiodes. The way this research shows viability is by developing a machine-learning...
bachelor thesis 2023
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Smit, Winstijn (author)
Touchless interaction with computers has become more important in recent years, especially in the context of the COVID-19 pandemic.<br/>Applications include situations where touch input is not possible or not desirable, e.g. for hygienic purposes in a public setting or a medical setting.<br/>Practical examples for touchless interaction include...
bachelor thesis 2023
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van de Linde, Gijs (author)
This paper describes the feasibility of digit detection using three photodiodes and an Arduino Nano 33 BLE. This is done using a controlled lighting condition, using a bright lamp. It dives into the process of data collection, preprocessing and model selection for a recurrent neural network to do the classification of gestures into digits. Using...
bachelor thesis 2023
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Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
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Monté, Sérénic (author)
Collaborative filtering is used to predict the preference or rating of a user for a certain item. Collaborative filtering is based on the notion that similar users rate similarly. A lot of research is done on how to improve this algorithm, mostly with deep learning. A less investigated field for recommender systems is graph signal processing....
bachelor thesis 2022
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van Blokland, Lars (author)
Algorithms that recommend items to users are known as recommender systems and have become an important part of online ecosystems. These systems calculate the similarity between given users or items based on the ratings they have received. Such similarities can be modeled as a graph where users or items (nodes) have connections (edges) to other...
bachelor thesis 2022
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Mariūnas, Karolis (author)
Recommender systems (RS) assist users in making decisions by filtering content that the user would likely find relevant. Standard techniques like collaborative filtering exploit user similarities to find the recommendations assuming that similar users are likely to be interested in the same items. On the other hand, graph RS borrow techniques...
bachelor thesis 2022
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Koper ook geschreven Jansen, Melle (author)
A recommendation algorithm aims to predict the quality of a user's future interaction with certain items based on their previous interactions. As research progresses, these algorithms are becoming increasingly more complicated with the use of machine learning and neural networks. This paper looks into a more simple solution. The recommendation...
bachelor thesis 2022
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Lipski, Matthew (author)
Touching physical buttons to interact with public electronic devices has raised some concerns regrading disease transmission following the COVID-19 pandemic. The use of hand gestures as a touchless replacement sounds appealing, but comes with the challenge of recognizing which gesture is being performed by the user, with only the processing...
bachelor thesis 2022
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Barantiev, Dimitar (author)
There is a growing need for touch-free interaction with public utilities such as coffeemakers and vending machines that will help prevent the spread of diseases such as COVID-19. One solution is the integration of embedded gesture recognition systems relying on ambient light. However, existing work so far is found to be inefficient in terms of...
bachelor thesis 2022
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Bom, Mitchel (author)
This project aims to answer the question of how cross-plant safety can be improved in a general way, including the prevention of domino effects. The main research question is: How do we improve collaboration between companies in a chemical cluster, in so that an overall safety gain is achieved? From the literature review and the interviews a...
master thesis 2022
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Du, XIANGYU (author)
Earthquake prediction has raised many concerns nowadays, due to the massive loss caused by earthquakes, as well as the significance of accurate forecasting. Lots of trials have been investigated and experimented but few achieved satisfying results on short-term prediction (i.e., usually those earthquakes that will happen in three months). It is...
bachelor thesis 2022
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van den Akker, Daniel (author)
Multi-Layer Perceptron and Support Vector Machine have both been widely used in machine learning. In this research paper, these models have been applied to binary classification on an individual time series basis. The goal was to see whether they can predict earthquakes, using earthquakes measured at specific stations across New Zealand. As it...
bachelor thesis 2022
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Houbaer, Maikel (author)
Earthquakes can do great harm to the environment and people's daily lives. Being able to predict an earthquake moments before it happens could therefore reduce harm and save human lives. Traditional methods have not been successful yet, but with the rise of techniques focused on deep learning, there is a growing interest to apply them to the...
bachelor thesis 2022
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Hashmi, Irtaza (author)
Earthquakes are one of the most dangerous natural disasters that occur worldwide. Predicting them is one of the unsolved problems in the field of science. In the past decade, there has been an increase in seismic monitoring stations worldwide, which has allowed us to design and implement data-driven and deep learning solutions. In this paper, we...
bachelor thesis 2022
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Purohit, Aditya (author)
The current EU member states have set targets to reduce annual greenhouse emissions for 2021-2030. Sixty per cent of EU emissions include sectors like buildings, agriculture, non-ETS industry and waste. Much research cannot be found to reduce emissions in the buildings, houses and community-based scenarios. Therefore, this research focuses on...
master thesis 2022
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