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Multimodal Interface for DNA Alignment of Sequences

Van den Haak, P. (author), Cheung, M. (author)

Major research efforts in Bioinformatics include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution. To perform these specific tasks different tools are used. Using these tools separately is a...

bachelor thesis 2008

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Modeling Inference Time of Deep Neural Networks on Memory-constrained Systems

Brouwer, Hans (author)

Deep neural networks have revolutionized multiple fields within computer science. It is important to have a comprehensive understanding of the memory requirements and performance of deep networks on low-resource systems. While there have been efforts to this end, the effects of severe memory limits and heavy swapping are understudied. We have...

bachelor thesis 2020

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Predicting Football Outcomes: with Bayesian Networks

van Dijk, Max (author)

In this thesis Bayesian Networks are used to predict European football matches between the years 2008 and 2016. The goal of this research is to see how the structures learned by different Bayesian Network learning algorithms influences the predictions. First the data is explored and modified to be used for Bayesian Networks and secondly the...

bachelor thesis 2019

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The influence of learning algorithms for Bayesian Networks on predictions: A citation analysis study case

Ochalhi, Redouan (author)

In this thesis, attention is paid to building different Bayesian networks. You can think of aspects such as parameter learning, search procedures and score functions. In addition, a distinction is made between the use of Discrete Bayesian Networks and Gaussian Networks. These models both have different assumptions which are also discussed. Finally...

bachelor thesis 2019

document

Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions

van den Belt, Glenn (author)

Earthquakes can have tremendous effects. They can result in casualties, massive damage, and hurt the economy. Therefore, one would like to predict earthquakes as early as possible and with the highest accuracy possible. This paper contains the proposal for the optimal prediction-time, which is the time between the execution of a prediction and...

bachelor thesis 2022

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COVID-19 Prediction and Mitigation

Meester, M.R. (author), Görkey, I. (author), Braakman, O.J. (author), Rood, T.T.G. (author), Bauman, N. (author)

With the world in grasp of the COVID-19 pandemic, models predicting the spread of the virus can give indications to what extent a country is controlling the pandemic. Policymakers can decide to install so-called mitigation strategies to limit the spread of the virus. To aid the decision-making process, this report describes how a web application...

bachelor thesis 2020

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Prediction of flow-fields by combining high-fidelity CFD data and Machine Learning algorithms

Arntzen, Stefan (author)

High-fidelity optimisation studies are a useful asset in the design of critical components for large gas turbines. These studies require the computation of numerous computationally expensive CFD simulations and result in predominantly optimisation graphs of design objectives (e.g. Pareto-front figure). The quantity of generated data is...

master thesis 2019

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Predicting the dune growth at a mega nourishment: By using a process based Integrated Hydro- Aeolian- Morphodynamic model.

van het Hooft, Thijs (author)

The Sand Engine was constructed in 2011 with the main goal to enhance the natural dune growth. It is the first mega nourishment in the world comprising of 21.5 Mm³ of sediment. There is a large difference between the predictions of the dune growth (25 ha in 20 years) and the actual measurements (1 ha in 4 years). Therefore a more...

master thesis 2018

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High accuracy GNSS-based on-board orbit determination and prediction methods for tracking software in satellite laser communications

Paliušis, Kipras (author)

Laser communication provides numerous benefits over typical Radio Frequency communication, such as lower power, not occupying regulated frequency bands, possibilities for much higher data rates and resistance to jamming. Combined with satellite constellations, Laser Inter-satellite Links (LISL) can enable global connectivity. However, satellites...

master thesis 2023

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Real-time Collision Avoidance for Robot Manipulators by Braking Trajectory Prediction

Zhu, J. (author)

The thesis contributes to the pre-collision strategies of robot manipulators by proposing a real-time implementable collision avoidance scheme. The collision is avoided by a braking controller that is activated by a braking trajectory predictor. The predictor provides distances of the end-effector to the object/human in the environment and...

master thesis 2015

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Smart Charging Even Smarter: Using Predictions to Increase Performance of a Cloud-Based Smart Charging Algorithm

Elders, Bob (author)

Electric Vehicles (EVs) are considered a promising solution when it comes to reducing CO2 emissions in the transport sector. To accommodate for large numbers of EVs, a considerable amount of additional charging infrastructure must be installed. Simultaneous charging of large quantities of EVs leads to peak loads in the energy grid. One way to...

master thesis 2019

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ETA prediction: Predicting the ETA of a container vessel based on route identification using AIS data

Meijer, Ricardo (author)

Container vessels arriving in a port before or after their scheduled time can cause problems in the container terminal planning and planning of hinterland transportation. This in turn leads to an increase of the costs in the supply chain. Vessels communicate their Estimated Time of Arrival via Automatic Idetification System(AIS) data to the port...

master thesis 2017

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Predicting the stability of distal radius fractures with a small dataset and machine learning

Wilbers, Julia (author)

Purpose. Distal radius fractures are common fractures of the wrist. These fractures are often displaced and need reduction, after adequate reduction, the patients will have follow-up X-rays to check if the fracture stays stable. This is important because surgery might be required if the fracture becomes unstable. This can lead to delayed surgery...

master thesis 2022

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Time series forecast in non-stationary environment with occurrence of economic bubbles: Bitcoin Price prediction

Garbacz, Mateusz (author)

Being capable to foresee the future of a given financial asset as an investor, may lead to significant economic profits. Therefore, stock market prediction is a field that has been extensively developed by numerous researchers and companies. Recently, however, a new branch of financial assets has emerged, namely cryptocurrencies. As a...

master thesis 2018

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A tool to predict and communicate facial recognition after orthognathic surgeries

Ribbers, Tamara (author)

A problem at the VUmc hospital in Amsterdam is that some patients become unrecognizable after the surgery. It is hard for surgeons to explain during the consultation how and how much the patients will change due to the surgery. Partly, because the surgeons cannot predict if the patient will become unrecognizable. Therefore, they tell them that...

master thesis 2020

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An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation

Hendriks, Manon (author)

Maasstad Hospital is a member of the Santeon hospital group. The ambition of Santeon is to improve healthcare for patients. The project in this internship also aims to improve patients’ health, specifically patients in the Intensive Care Unit (ICU).<br/>The treatment of respiratory insufficient patients in the ICU consists of High Flow Nasal...

master thesis 2023

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Predicting noise attenuation level in the earplugs using Gaussian Process Regression

Rakesh Arya, Stephy Annie Curie (author)

The earplug development followed by ALPINE, a hearing protection company is a trial and error method. This method leads to high material wastage. It is also a time-consuming and expensive development process. So, the objective of this thesis is to ease the error earplug development process by implementing a prediction model. The research is...

master thesis 2022

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A prediction model for the accumulation of land to river debris at a downstream river section

van Rijen, Ladislas (author)

The accumulation of natural and persistent anthropogenic debris in particular, within aquatic ecosystems, brings along a myriad of ramifications. By reducing these debris, damage to nautical vessels and harm to marine life can be mitigated. Rivers are an important pathway of debris towards coastal harbors, ports and marine ecosystems. To...

master thesis 2019

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Assessing and Increasing Robustness of Networks

Zou, Jinyi (author)

This thesis aims to assess robustness of networks by evaluating the performance of node attack strategies, the applicability and accuracy of different approaches, and to increase robustness of networks through analysing protecting methods, including link addition and node protection strategies. To be specific, the relative size of the Largest...

master thesis 2023

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Thermal Management of a Data Center White Space: A numerical study using computational fluid dynamics, flow & temperature predictions using neural networks, and white space design optimization using a genetic algorithm.

Pal, Somnath (author)

The total electrical energy consumption by all the operational data centers (located all over the world) is enormous (approx. 1% of the global electricity demand 20000TWh). This electrical energy is required 24x7 to operate and cool all the IT equipment present in the data center. The electrical energy required to cool all...

master thesis 2020