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Groen, Vincent (author)
The current state-of-the-art image alignment techniques and their input parameters are often unintuitive to those without the required background knowledge.<br/>This work aims to provide users with a graphical user interface through which they can intuitively influence the parameters and results of the algorithm by excluding certain areas from...
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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van de Water, Stijn (author)
This paper describes the design of an adaptable, low-cost, and energy efficient gesture detection system. The system leverages the ambient light available in the environment to perform Visible Light Sensing (VLS) using powerful Convolutional Neural Networks. The focus lies on designing a system that is capable of robust gesture detection in any...
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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Hizli, Beyza (author)
Lack of physical activity is one of the main risk factors for the development of cardiovascular diseases. Although most people are aware of the risks of this poor health behavior, they have a hard time improving this behavior. Goal-setting is an effective step in the process of changing behavior. It can motivate a person and help them to remain...
master thesis 2022
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Huang, Wenxuan (author)
Supervised machine learning is a growing assistive framework for professional decision-making. Yet bias that causes unfair discrimination has already been presented in the datasets. This research proposes a method to reduce model unfairness during the machine learning training process without altering the sample value or the prediction value....
master thesis 2022
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Basu, Debadeep (author)
This work applies the theory of group equivariance to the domain of video action recognition replacing standard 3Dconvolutions with group convolutions which are equivariant to temporal direction, and multiples of 90-degree spatial rotations. We propose a temporal direction symmetry group T2 and extend the standard planar rotations group to three...
master thesis 2021
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Meuleman, Mathias (author)
The field of Optical Music Recognition has been making progress in the past decades to automate the process of transcribing music scores into computer-readable formats, but its results are still far from being generally applicable. Some research effort has focused on incorporating crowdsourcing techniques into this field to check and correct...
master thesis 2021
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Yang, Wei-Tse (author)
We present the first deep learning approach to estimate the human skeletal system of the musculoskeletal model from monocular video. The current practice of musculoskeletal modeling relies on a motion capture system and OpenSim. The data is recorded in a restricted environment, and OpenSim workflow for musculoskeletal modeling is costly. Our...
master thesis 2021
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Singh, Akash (author)
Single-cell multi-modal omics promises to open new doors in bioinformatics by measuring different aspects of cells, thus offering multiple perspectives on the underlying biological phenomenon. Although simultaneous multi-modal measurement protocols do exist, their inherent technical limitations necessitate focus on single modality measurements....
master thesis 2021
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Blokker, Roy (author)
Passive visible light communication (VLC) takes advantage of the pervasive<br/>nature of ambient light in our environment for wireless transmissions. The<br/>design of transmitters in passive VLC predominantly uses Liquid Crystal Displays (LCD’s). While LCD’s are an economical choice with low power consumption, they lack some key properties that...
master thesis 2021
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Blokzijl, Wessel (author)
After the release of Bitcoin in 2008 many advances have been made in the crypto space. The feature-set, scalability, transaction cost, and efficiency have all improved. Yet, as the development continued, the goal of Bitcoin or any other cryptocurrency as a digital payment form started to take a backseat to their utility as a store of value and...
master thesis 2021
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Wang, Mingshi (author)
According to the development of data-related techniques, aimed at exploring the largest value of data, price prediction has been seen as more vital for quantifying and pricing stock. To solve this problem, the learning based algorithm became popular during modern computing techniques development. LSTM (Long Short-Term Memory) techniques attract...
bachelor thesis 2021
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Ion, Claudiu (author)
While SQL engines are now capable of detecting a large number of syntactic mistakes, most often semantic errors are not detected, which can lead to serious performance issues or even security vulnerabilities being introduced in the system. This thesis proposes a set of 25 validated heuristics together with a new rule-based static analysis tool...
master thesis 2021
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van Diepen, Aaron (author)
Recurrent neural networks (RNNs) used in time series prediction are still not perfect in their predictions and improvements can still be made in the area. Most recently transformers have led to great improvements in the field of RNNs, however transformers can not be used on time series data, because the architecture of transformers does not...
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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Amouzandeh, Ashkan (author)
As the popularity of electric vehicles (EVs) increases, congestion at charging becomes a more imminent problem. Congestion at a charging station can lead to long waiting queues and failure of EV owners to charge their vehicles fully before their departure from the station. To combat this issue, this paper explores several candidate scheduling...
bachelor thesis 2021
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Arnoldus, Matthijs (author)
With the increasing number of electric vehicles onthe road, the routing problem has become morecomplex. As charging electric vehicles takes longerthan fueling non-electric vehicles, congestion canoccur at charging stations. This might lead to theshortest route not being the fastest route, due tolong waiting times at the stations. By commu...
student report 2021
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Smit, Mitchell (author)
The Electric Vehicle Routing Problem (E-VRP) is an extension of the infamous Vehicle Routing Problem which asks which routing decisions an electric vehicle needs to take in order to traverse the network efficiently. Many extensions of this problem have been subject to research in the last decade and now that electric vehicles are starting to pop...
bachelor thesis 2021
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de Britto Heemskerk, Roderick (author)
Intention Aware Routing System is a route-planning algorithm for electric vehicles that minimizes overall travel time by taking into consideration congestion at charging stations. This paper extends this algorithm to allow choices to be made based on prices at charging stations. The goal of this paper is to find a way to minimize maximum...
bachelor thesis 2021
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