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Kadiev, Adam (author)
The growing significance of microlearning in the context of digital education, higher education and lifelong learning makes it an interesting field for research. Microlearning can be described as learning through small chunks of learning activities which are designed to be concise and focused. In the studied literature, microlearning content...
bachelor thesis 2021
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Morris, Darwin (author)
The creation of comic illustrations is a complex artistic process resulting in a wide variety of styles, each unique to the artist. Conditional image synthesis refers to the generation of de novo images based on certain preconditions. Applying machine learning to conditionally generate novel comics proves an intriguing yet difficult task. This...
bachelor thesis 2021
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Pronk, Jeffrey (author)
In this research, a learner’s sustained attention in the remote learning context will be studied by collecting data from different sensors. By combining the results of these sensors in a multi-modal analytics tool, the estimation of the learner’s sustained attention can hopefully be improved. This research will mainly focus on microphone...
bachelor thesis 2021
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te Wierik, Ruben (author)
Real-time sequence clustering is the problem of clustering an infinite stream of sequences in real time with limited memory. A variant of the k-medoids algorithm called <i>SeqClu </i>is the suggested approach, representing a cluster with <i>p </i>most representative sequences of the cluster, called prototypes, to solve the problem of maintaining...
bachelor thesis 2021
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van Loon, Joaquin (author)
This paper introduces an electricity price extension to the intention-aware routing system (IARS) for electric vehicles (EV). The existing intention-aware routing system is used to route electric vehicles who require to charge en-route through a road network. To achieve the objective of minimising the average journey time, the intentions of EVs...
bachelor thesis 2021
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Toledo, Denise (author)
The focus in over two decades of mobile learning (m-learning) research has meanly been on PK-12 education. M-learning is seen as an important new development in PK-12 and higher education (HE). Yet, the ease of app identification is lacking. This paper aimed to classify different m-learning applications to ensure that they are more easily...
bachelor thesis 2021
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Kruit, Vincent (author)
bachelor thesis 2021
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de Jong, Jaap (author)
For the Multi-Agent Pathfinding (MAPF) problem, a set of non-colliding paths must be found for multiple agents. In Multi-Agent Pathfinding with Matching (MAPFM), this problem is extended: agents and goals are added to a team and each agent has to navigate to a goal that belongs to the same team. In this paper, two extensions of the EPEA* MAPF...
bachelor thesis 2021
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Vass, Kristóf (author)
Stance detection is a Natural Language Processing task that aims to detect the stance (support, agreement, or disagreement) of a piece of text towards some target. In this paper, we aim to find the best performing pair of feature extraction method and feature-based machine learning algorithm. By doing so, an explainable method can be found to...
bachelor thesis 2021
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Kostadinov, Kalin (author)
Self-Sovereign Identities provide a solution to the identity crisis as their goal is bringing back control over identities to their owners. Nonetheless, currently deployed SSI managers lack data resilience. Consequently, one's identity is lost if the device holding it becomes inaccessible. We achieve data resilience through identity backups....
bachelor thesis 2021
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Abrahamse, Robin (author)
The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes are able to directly access memory on adjacent nodes and can therefore overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...
bachelor thesis 2021
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Das, Tuhin (author)
To alleviate lower classification performance on rare classes in imbalanced datasets, a possible solution is to augment the underrepresented classes with synthetic samples. Domain adaptation can be incorporated in a classifier to decrease the domain discrepancy between real and synthetic samples. While domain adaptation is...
bachelor thesis 2021
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Wallage, Just (author)
The goal of this research is to find out whether it is possible to use a specific type of machine learning algorithm to create new data that resembles data in a given dataset. The algorithm that is used is a variational autoencoder (VAE), this is a machine learning algorithm based around data compression and decompression. The dataset is a set...
bachelor thesis 2021
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Tatabitovska, Ana (author)
Front-running is the illegal practice of obtaining information unavailable to the general public with regards to upcoming transactions and performing actions based on this knowledge as to gain profit. This type of attack has been an issue since the introduction of the first stock market and it is not a surprise it has spread into blockchain...
bachelor thesis 2021
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Trevnenski, Georgi (author)
Video summarization is a task which many researchers have tried to automate with deep learning methods. One of these methods is the SUM-GAN-AAE algorithm developed by Apostolidis et al. which is an unsupervised machine learning method evaluated in this study. The research aims at testing the algorithm's performance on the Breakfast dataset,...
bachelor thesis 2021
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Prundeanu, Alin (author)
Wheat is among the most important grains worldwide. For the assessment of wheat fields, image detection of spikes atop the plant containing grain is used. Previous work in deep learning for precision agriculture employs the already established object detectors, Faster R-CNN and YOLO, adapted for the given context. However, these models suffer...
bachelor thesis 2021
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Bosma, Hendrik (author), Tansuğ, Ege (author), Breedveld, Patrick (author)
This thesis describes the design and implementation of a subsystem within a larger medical monitoring system. This subsystem will make bidirectional audio communication possible between a patient and their caregivers or family members. The patient in question can be premature babies that have to stay inside of incubators and elderly people that...
bachelor thesis 2021
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Beekhuizen, Michael (author)
IoT devices have grown rapidly over the past few years. IoT devices are mostly connected to a central server that stores the data and handles end-to-end communication. Due to the increase of IoT devices, the latency with the server increases. Furthermore, when using a central server the data is at risk of being deleted or tampered with. To...
bachelor thesis 2021
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Markhorst, Thomas (author)
Proper maintenance and inspection of aircraft and their engines is important for society. These engine inspections are performed using borescopes of which the footage is manually analysed. Having the opportunity to reconstruct a 3D model of the rotors would ease the inspection and introduce the possibility to automate the process. Monocular SLAM...
bachelor thesis 2021
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Heijbroek, Diederik Heijbroek (author)
Patient monitoring and clinical trial management generate continuous large volumes of healthcare data, causing the healthcare industry to be a data-intensive domain. Existing data storage techniques and access mechanics in the healthcare domain exhibit several challenges related to data security, patient privacy, and interoperability. Blockchain...
bachelor thesis 2021
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