Searched for: subject:"machine%5C+learning"
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Makrodimitris, S. (author)
Billions of people world-wide rely on plant-based food for their daily energy intake. As global warming and the spread of diseases (such as the banana Panama disease) is substantially hindering the cultivation of plants, the need to develop temperature- and/or disease-resistant varieties is getting more and more pressing. The field of plant...
doctoral thesis 2021
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Deen, Mitchell (author)
Recent years have shown a tremendous increase in the application of Artificial Intelligence to the field of radiology, often through the extraction and analysis of large numbers of quantitative features from medical images. These applications increase the demand for machine learning models to extract information from these images. To provide...
master thesis 2021
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Wirianto, Erik (author)
Neonatal sepsis is a dangerous non-specific disease in babies, especially neonate/newborns. It is one of the leading causes of neonate mortality rate, because of the difficulty to diagnose, leading to late or false treatment. Previous research has found the promising feature of artificial intelligence or machine learning in solving the problem....
master thesis 2021
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Papalexiou, Annie (author)
Although monitoring and maintenance of railways is important to ensure safety and avoid delays and financial losses, it is still mainly based on human inspection. The complexity of a railway along with the large area it extends makes manual monitoring difficult and time-consuming. The increasing availability of 3D acquisition technologies has...
master thesis 2021
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Dally, Killian (author)
Fault-tolerant flight control faces challenges as developing a model-based controller for each unexpected failure is unrealistic, and online learning methods can handle limited system complexity due to their low sample efficiency. In this research, a model-free coupled-dynamics flight controller for a jet aircraft able to withstand multiple...
master thesis 2021
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Vorage, Laurence (author)
To ensure continuous operations at airports, operational schedules need to be able to cope with early and late arriving/departing flights. To optimize such schedules for these events, flight delay predictions are necessary. Till now, flight delay has been studied mainly from a binary and regression standpoint. These type of predictions lack a...
master thesis 2021
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Jain, Akhil (author)
Ultrawideband technology can be used to measure the distance between two device equipped with ultrawideband transceivers. Multiple ultrawideband devices known as anchors can localize a device that supports ultrawideband communication after each anchor measures the distance between itself and the device. The anchor and the tag can measure the...
master thesis 2021
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Dutrieux, Sarah (author)
In an effort to improve an airport operation optimization model, this research investigates the possibility of predicting probability distributions of flight delays with machine learning algorithms. The research is centered around Rotterdam The Hague...
master thesis 2021
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Storm, Joep (author)
Designing engineering structures relies on accurate numerical simulations to predict the behaviour of a structure before its realization. In the design process, many variables influence the final structure. There is an incentive for optimizing the design based on the desire for cheaper structures and less material usage. Although a wide variety...
master thesis 2021
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Kolenbrander, Thomas (author)
Incident management is one of the top priorities for IT companies. Within incident management the so-called major incidents, incidents with a severe impact on the company, require emergency actions to reduce this impact. An earlier detection of these major incidents will lead to a faster resolution time and this can be achieved by using software...
master thesis 2021
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van der Bos, Jelle (author)
In recent years, ships are expected to improve energy efficiency and reduce carbon emissions. For naval vessels, it is important to be able to maintain their mission profile. It is therefore required to provide real-time advice to the ship’s crew on the optimal speed and propulsion mode settings that include the actual environmental conditions....
master thesis 2021
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De Buysscher, Diego (author)
Safe Curriculum Learning constitutes a collection of methods that aim at enabling Rein- forcement Learning (RL) algorithms on complex systems and tasks whilst considering the safety and efficiency aspect of the learning process. On the one hand, curricular reinforce- ment learning approaches divide the task into more gradual complexity stages to...
master thesis 2021
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Verkooijen, Paul (author)
Double strand breaks are lesions to the DNA and can be fatal for cells. Therefore these breaks are repaired, primarily by one of the three major repair pathways. Two of these pathways are non-homologous end-joining (NHEJ) and theta-mediated end-joining (TMEJ). These pathways leave genetic alterations in their repair products, a form of DNA...
master thesis 2021
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Khedekar, Tejas (author)
Movable bridge decks experience critical expansion in summer, leading to uncertainty and unpredictability in its availability doe to improper docking and safety hazard. If the bridges are not cooled soon, the inertia of expansion stays, causing prolongation of availability problems. Structural health monitoring of such bridges with a predictive...
master thesis 2021
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Brederveld, J.E.C. (author)
Various machine learning algorithms have been applied to find optimal lowthrust<br/>satellite trajectories, however, no fair comparison of their accuracy has been made yet. In this paper, two common and promising supervised machine learning algorithms are compared for their regression capacities:<br/>the artificial neural network and the...
master thesis 2021
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Robbins, S.A. (author)
Machine Learning (ML) is reaching the peak of a hype cycle. If you can think of a personal or grand societal challenge – then ML is being proposed to solve it. For example, ML is purported to be able to assist in the current global pandemic by predicting COVID-19 outbreaks and identifying carriers (see, e.g., Ardabili et al. 2020). ML can make...
doctoral thesis 2021
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Catshoek, Tom (author)
Active state machine learning algorithms are a class of algorithms that allow us to infer state machines representing certain systems. These algorithms interact with a system and build a hypothesis of what the state machine describing that system looks like according to the behavior they observed. Once the algorithm arrives at a hypothesis, it...
master thesis 2021
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van Ruyven, Noor (author)
In 1997 it was discovered that fragments of DNA circulate freely in the blood plasma and, in the case of pregnancy, this DNA consists of DNA belonging to both the mother and the fetus. This circulating free DNA has made it possible to test for chromosomal aberration in the fetus through non-invasive methods, thereby avoiding the 1 in 100 chance...
master thesis 2021
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van den Berg, R.D. (author)
Cryogenic electron tomography (cryo-ET) is currently the golden standard for imaging cellular tissue at nanometer resolution. The current workflow from cultured cells to final image is however very time-consuming, labor-intensive, expensive, and has a low yield. Moreover, many of the steps in this workflow require practice. Even after practice,...
master thesis 2021
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Imani, Maryam (author), Hasan, Md Mahmudul (author), Bittencourt, Luiz Fernando (author), McClymont, Kent (author), Kapelan, Z. (author)
Resilience-informed water quality management embraces the growing environmental challenges and provides greater accuracy by unpacking the systems' characteristics in response to failure conditions in order to identify more effective opportunities for intervention. Assessing the resilience of water quality requires complex analysis of...
journal article 2021
Searched for: subject:"machine%5C+learning"
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