Searched for: subject%3A%22filters%22
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Bavelaar, Koen (author), Verweij, Jeroen (author)
This thesis details the design of a selection operator used in a Genetic Algorithm. The Genetic Algorithm is used for loudspeaker filter design of three way loudspeakers for which tournament selection was chosen as selection operator. A methodology is proposed and used to tune the parameters of tournament selection, which is based on diversity...
bachelor thesis 2023
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Mânăstireanu, Andrei (author)
The curse of dimensionality is a common challenge in machine learning, and feature selection techniques are commonly employed to address this issue by selecting a subset of relevant features. However, there is no consistently superior approach for choosing the most significant subset of features. We conducted a comprehensive analysis comparing...
bachelor thesis 2023
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Chen, Yue (author)
Tactile Internet (TI) is a pioneering network paradigm that aims to communicate haptic feedback with ultra-low latency. It will enable new ways for us to interact with remote environments, such as transferring skills over the network and controlling remote objects. One crucial component of this framework is the ability to track the position and...
bachelor thesis 2023
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Snijder, Koen (author)
The Tactile Internet (TI) aims to expand seamless interaction over the Internet by providing a new form of interaction through touch by providing haptic feedback. To realize this, the TI is limited by a round-trip latency of 1-10 ms, meaning that the TI is limited by a physical distance of 1500 km. A workaround to this requirement is the...
bachelor thesis 2023
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Nijenhuis, Jonathan (author), Zunderman, Timo (author)
This thesis describes the design and implementation of a controller and GUI for an AI loudspeaker filter design program. This program uses a genetic algorithm to create a combination of analog passive filters, one for each driver in a loudspeaker system. In the controller, two cost functions are designed to evaluate these filter combinations,...
bachelor thesis 2023
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Barendse, ZOYLA (author), van Overbeeke, Willem (author)
This paper reports the design of a part of a genetic algorithm, which is made to design analog filters for loudspeakers. The part in this report is the part which deals with the representation of electrical filter circuits, the mutation of these filters, and finding their transfer function. The considered representations are graph coding and a...
bachelor thesis 2023
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Sikkens, Duuk (author)
Deze scriptie gaat over βN. Wat specifieker: ze gaat over onvergelijkbare elementen in de Rudin-Keislerorde op βN. βN is een topologische ruimte, het is de Čech-Stone-compactificatie van de natuurlijke getallen. Er kan over βN echter ook op een meer verzamelingtheoretische manier worden nagedacht, namelijk als de familie van alle ultrafilters op...
bachelor thesis 2022
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Kronemeijer, Sander (author)
The world’s reliability on the Global Position System (GPS) is experiencing more and more vulnerabilities. Not just environmental factors are responsible for GPS inaccuracies, but blocking or spoofing location signals has become more commonly available worldwide. This raises interest in other methods to navigate without 3rd party connections....
bachelor thesis 2022
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Mundhra, Yash (author)
Recommender systems are an essential part of online businesses in today's day and age. They provide users with meaningful recommendations for items and products. A frequently occurring problem in recommender systems is known as the long-tail problem. It refers to a situation in which a majority of the items in the data set have limited ratings...
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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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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Ali, Suleyman (author)
A majority of existing single-anchor localization algorithms make use of antenna arrays or special antenna systems. However, the need for specialized antenna systems incurs higher costs, complexity and power consumption. This paper presents a novel single-anchor localization algorithm, which does not require antenna arrays or special antennas....
bachelor thesis 2022
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Gökbulut, Mert (author)
One of the key problems of swarm robotics is how the mobile robots can navigate accurately in a given environment. To achieve this, the mobile robots need to accurately determine where they are globally, or relative to other robots and landmarks. This paper is going to be an investigation of the Monte Carlo Localization algorithm in an...
bachelor thesis 2022
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Olaru, Alexandra (author)
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time. This paper provides a model to track objects in neuromorphic datasets, using clustering. In addition, a non-linear filter is...
bachelor thesis 2022
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Castelijn, Moos (author)
Groundwater is an essential ingredient in farming, knowledge about how this is expected to change over time can help farmers improve yields and save water. Predictions about the groundwater level can be made using a mathematical model. This model takes into account the precipitation and evaporation, the flux towards a deeper aquifer and flux to...
bachelor thesis 2022
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de Jong, Joep (author)
The transcription of voice using neural networks is a technique that deserves attention, as speech assistants are becoming increasingly popular. Neural networks have often difficulty with determining the differences between a talking person and noise. Humans have a much better understanding of this and could possibly apply their knowledge of the...
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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van der Voort, J.C. (author)
The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...
bachelor thesis 2020
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Goudsmit, L. (author)
In the ocean resides a large amount of plastic. This has severe environmental consequences for the oceans. To be able to clean up all this plastic the location of the plastic is needed. A lot of times plastic is cleaned up at the source, but to clean up here this location needs to be known. However, what if the start location is not known and...
bachelor thesis 2020
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Huijten, Esmee (author)
Ultra-wideband submillimeter observations are crucial to study the process of star and galaxy formation and for characterizing cosmic dust in the interstellar medium. The Deep Spectroscopic High-redshift Mapper 2.0 (DESHIMA 2.0) will use an integrated superconducting spectrometer chip with a 220-440 GHz band coverage and a spectral resolution of...
bachelor thesis 2020
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