Searched for: subject%3A%22network%22
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van Hilten, Arend-Jan (author)
Modern vehicles have multiple different buses to communicate between components, like CAN (FD) and FlexRay. ZF builds ”innovation vehicles” with new components to showcase and test them. These components are connected to the automotive buses. ZF uses a web-based Human Machine Interface (HMI) to control and view the state of these parts. This HMI...
master thesis 2023
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Oostenbrink, J. (author)
Communication networks are critical in business, government, and even our day-to-day life. A prolonged communication outage can have devastating effects, particularly during and after a disaster. Unfortunately, our communication infrastructure is still vulnerable to natural disasters and other events that damage multiple network components...
doctoral thesis 2023
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Scholtens, Ekko (author)
In this paper, we present a study to improve using neural networks for acoustic reflection localization. Our study focuses on the reimplementation of the proposed neural network model by Bologni et al. and investigates the effect of adding a third microphone to the microphone array. We reimplemented and trained the neural network using the same...
bachelor thesis 2023
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Bayraktar, Kerem (author)
The term ”Algal Bloom” refers to the accumulation of algae in a confined geological space. They may harm human health and negatively affect ecological systems around the area. Thus, forecasting algal blooms could mitigate the environmental and socio-economical damages. Particularly, the use of deep learning methods could distinguish underlying...
bachelor thesis 2023
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Simons, Annabel (author)
In today's society, claims are everywhere, in the online and offline world. Fact-checking models can check these claims and predict if a claim is true or false, but how can these models be checked? Post-hoc XAI feature attribution methods can be used for this. These methods give scores indicating the influence of the individual tokens on the...
bachelor thesis 2023
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Makaveev, Momchil (author)
This project proposes and evaluates a novel concept for an airspeed instrument aimed at small hybrid unmanned aerial vehicles. The working principle is to relate the power spectra of the wall-pressure fluctuations beneath the turbulent boundary layer formed over the vehicle’s body to its airspeed. The instrument consists of two microphones,...
master thesis 2023
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Huijsman, Robbert (author)
TreeContainment is a well-known problem within phylogenetics, which asks whether a binary phylogenetic tree is embedded in a binary phylogenetic network. For this problem, Jones, Weller and van Iersel (2022) have created an algorithm that uses dynamic programming on tree-decompositions to achieve a running time that is exponential in the tree...
master thesis 2023
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Gold, Andrew (author)
Ranking algorithms in traditional search engines are powered by enormous training data sets that are meticulously engineered and curated by a centralized entity. Decentralized peer-to-peer (p2p) networks such as torrenting applications and Web3 protocols deliberately eschew centralized databases and computational architectures when designing...
master thesis 2023
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Huang, Jiongyu (author)
A Spiking neural network (SNN) is a type of artificial neural network which encodes information using spike timing, network structure, and synaptic weights to emulate the information processing function of the human brain. Within an SNN, it is always required to support the spike transmission that travels between neurons(array). This thesis aims...
master thesis 2023
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Edixhoven, Tom (author)
In this work we show how Group Equivariant Convolutional Neural Networks use subsampling to learn to break equivariance to their symmetries. We focus on the 2D roto-translation group and investigate the impact of broken equivariance on network performance. We show that changing the input dimension of a network by as little as a single pixel can...
master thesis 2023
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van Loo, Julian (author)
Energy poverty is an increasingly important issue. While vulnerable households are especially at risk in the energy transition, energy poverty effects of the transition are unknown. In Delft, a district heating network based on geothermal energy is planned. The distributive justice aspects of heat networks in the heating transition remain...
master thesis 2023
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Malfliet, Jari (author)
Wind estimation plays an important role in many aspects of our world, both for nowcasting and forecasting. This is also true for aircraft flight routes; where wind field knowledge can contribute to flight planning and safety. Aircraft can relay flight information back to ground-based receivers, from which local wind measurements can be derived....
master thesis 2023
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Focante, Edoardo (author)
In recent years, neural networks (NNs) have seen a surge in popularity due to their ability to model complex patterns and relationships in data. One of the challenges of using NNs is the requirement for large amounts of labelled data to train the model effectively. In many real-world applications such as radar, labelled data may be scarce due to...
master thesis 2023
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Heijlema, Cor-Jan (author)
Even though the use case of this study was to predict water currents for the sailing regatta in Tokyo, the method can be used for many different applications.
master thesis 2023
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Croft, Maxime (author)
This paper presents a novel approach to regional forecasting of SARS-Cov-2 infections one week ahead, which involves developing a municipality level COVID-19 dataset of the Netherlands and using a spatio-temporal graph neural network (GNN) to predict the number of infections. The developed model captures the spread of infectious diseases within...
master thesis 2023
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Liu, Y. (author), Pan, W. (author)
Machine learning can be effectively applied in control loops to make optimal control decisions robustly. There is increasing interest in using spiking neural networks (SNNs) as the apparatus for machine learning in control engineering because SNNs can potentially offer high energy efficiency, and new SNN-enabling neuromorphic hardware is being...
journal article 2023
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Li, Meng (author), Chen, Yifei (author), Lal, C. (author), Conti, M. (author), Alazab, Mamoun (author), Hu, Donghui (author)
Vehicular Digital Forensics (VDF) is essential to enable liability cognizance of accidents and fight against crimes. Ensuring the authority to timely gather, analyze, and trace data promotes vehicular investigations. However, adversaries crave the identity of the data provider/user, damage the evidence, violate evidence jurisdiction, and leak...
journal article 2023
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Mathiesen, Frederik Baymler (author), Calvert, S.C. (author), Laurenti, L. (author)
Providing non-trivial certificates of safety for non-linear stochastic systems is an important open problem. One promising solution to address this problem is the use of barrier functions. Barrier functions are functions whose composition with the system forms a Martingale and enable the computation of the probability that the system stays...
journal article 2023
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Mendoza Lugo, M.A. (author), Morales Napoles, O. (author), Paprotny, D. (author), Koot, P.J.P. (author), Ragno, E. (author)
In this paper we discuss PyBanshee, which is a Python-based open-source implementation of the MATLAB toolbox BANSHEE. PyBanshee constitutes the first fully open-source package to quantify, visualize and validate Non-Parametric Bayesian Networks (NPBNs). The architecture of PyBanshee is heavily based on its MATLAB predecessor. It presents the...
journal article 2023
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