Searched for: subject:"Machine%5C+Learning"
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Heijne, Yannick (author)
Past research has successfully increased the accuracy and quality of horizontal wind speed measurements made by cup anemometers. Errors are introduced in a variety of ways: when operational conditions deviate from calibration, due to flow distortion and as a result of the mechanical properties of an instrument changing during its lifetime....
master thesis 2020
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Brouwer, Wietske (author), van Hamel, Amber (author), van Haren, Mick (author), Kindermann, Paulina (author), Verboeket, Rik (author)
The Kathmandu Valley in Nepal is facing the combined effects of population growth, rapid urbanization, economic development, and climate change. This results in serious water management challenges: growing freshwater demands, declining water tables, drying of streams, and deteriorating water quality. Insufficient surface water supplies have led...
student report 2020
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Goderie, M.W. (author)
Wind turbine wakes cause significant reductions in power production and increased fatigue damage for downwind turbines. Thus, they affect the wind levelized cost of energy. Computational Fluid Dynamics (CFD) can be used to quantify the wake characteristics, whereby Reynolds-averaged Navier-Stokes (RANS) has the most potential for industrial...
master thesis 2020
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Probyn, Michael (author)
All major airport operators face a similar challenge, namely ensuring maximum throughput and maintaining high runway utilisation. A key part of this is accurately planning aircraft movements on the ground to avoid queueing and associated delays. A primary indicator of the operator performance in this area is the Taxi-Out Time. The research...
master thesis 2020
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Buijs, Cas (author)
Machine learning is used for security purposes, to differ between the benign and the malicious. Where decision trees can lead to understandable and explainable classifications, an adversary could manipulate the model input to evade detection, e.g. the malicious been classified as the benign. State-of-the-art techniques improve the robustness by...
master thesis 2020
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Hoozemans, Steven (author)
Worldwide, machine learning is increasingly used to achieve optimal analytics and outcomes in business and governmental organisations. However, it has become evident that structural guidance for creating machine learning projects is needed. Machine learning projects are dependent on multiple factors. This thesis focuses on three factors...
master thesis 2020
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Haakman, M.P.A. (author)
As organizations start to adopt machine learning in critical business scenarios, the development processes change and the reliability of the applications becomes more important. To investigate these changes and improve the reliability of those applications, we conducted two studies in this thesis. The first study aims to understand the evolution...
master thesis 2020
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Dhiman, Ashish Kumar (author)
Networks are all around us, telecommunication networks, road transportation networks, and the Internet are a few examples of networks that we encounter every day. The entities in a network are represented by nodes and the interconnections between them are represented by links. For example, in a telecommunication network, a node could be an end...
master thesis 2020
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Vădineanu, Serban (author)
With the growth in the complexity of real-time embedded systems, there is an increasing need for tools and techniques to understand and compare the observed runtime behavior of a system with the expected one. Since many realtime applications require periodic interactions with the environment, one of the fundamental problems in guaranteeing...
master thesis 2020
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Laxminarayanan Raj Prabhu, N. (author)
Social interactions in general are multifaceted and there exists an wide set of factors and events that influence them. Hence, interactions as a social phenomena have been studied by researchers in the fields of psychology and social signal processing from different stand points. The common trend in literature is to perform an in-depth study on...
master thesis 2020
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van Driel, R.A. (author)
Solving propositional satisfiability (SAT) and constraint programming (CP) instances has been a fundamental part of a wide range of modern applications. For this reason a lot of research went into improving the efficiency of modern SAT and CP solvers. Recently much of this research has gone into exploring the possibilities of integrating machine...
master thesis 2020
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Yilmaz, M.K. (author)
In line with the growing trend of using machine learning to improve solving of combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming branch-and-bound tree by using a learned policy. In contrast to previous work using imitation learning, our policy is focused on learning which of a...
master thesis 2020
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Schoustra, M. (author)
This paper explores the topic of anonymous open-world cyclist re-identification. Person re-identification (re-ID) with deep neural networks has made progress and achieved high performance in recent years. However, most existing re-ID works are designed for closed-world scenarios rather than realistic open-world settings, which limits the...
master thesis 2020
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Haas, J. (author), Klazinga, R.F. (author), van Stijn, N. (author), Teunissen, J. (author), Zhang, Y. (author)
The core challenge of the BedBasedEcho BEP project is to create an algorithm to find the heart, and apply it on a robotic echocardiography solution. The team has found multiple complex solutions that are related to this problem, and has extracted useful information from these solutions to apply to this problem. However, some of these complex...
bachelor thesis 2020
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Grzebyk, Daniel (author)
An increasing number of photovoltaic (PV) systems are being installed worldwide and residential sector is responsible for a large part of this growth. Small scale PV systems do not have complex measuring devices and their breakdowns are not spotted immediately by the system owners. This might lead to prolonged time without generating power and...
master thesis 2020
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Yin, Rukai (author)
System Dynamics (SD) is an approach to study the nonlinear behaviour of complex systems over time. SD models provide a high­level understanding of the system and aid in designing policies to achieve specific system behaviours. Conventional SD modelling requires an intensive amount of time, human resources and effort. Applying Machine Learning ...
master thesis 2020
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Fortich Mora, F.E. (author)
As urbanization increases around the world, high-rise buildings will continue to become a more prevailing typology, nonetheless, due in part to cumbersome computational simulations, rarely do designers have enough information during the early stages of design, which is the time when their choices affect the most the efficiency of their building....
master thesis 2020
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Spaargaren, Wim (author)
Systematic literature reviews in software engineering as well as other disciplines, serve as the foundation for sound scientific research. The aim for these literature reviews is to aggregate all existing knowledge on a research problem and produce informed guidelines for practitioners. This enables practitioners to apply appropriate software...
master thesis 2020
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Polderdijk, T.L.M. (author), Bervoets, J.M. (author), Dammeijer, E.A. (author), Schrijver, B.R. (author), Wu, Y. (author)
This report is a document that presents the project Estimating landing time based on historical data. We want to succeed in designing and implementing a system based on requirements posed by our client AerLabs. The main goal we are researching is whether we can accurately predict the landing time and runway<br/>of arriving flights at Amsterdam...
bachelor thesis 2020
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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
Searched for: subject:"Machine%5C+Learning"
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