Collection: education
(1 - 20 of 67)

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Katzy, Jonathan (author), Rietveld, Tim (author), van der Steeg, Jaap-Jan (author), Wiegel, Erik (author)
As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller start-ups such as Sjauf (a ride sharing start-up) are starting to get interested in implementing Machine Learning solutions in their product. Sjauf needed a system that could automatically tell its customers how much a...
bachelor thesis 2018
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van Heukelum, Robin (author), Oolbekkink, Gerben (author), Wolting, Matthijs (author)
For traditional, manual real estate appraisals, the appraiser is required to provide a number of comparable properties (the 'Comps'). These comps act as a benchmark for the valuation as well as a provider of context in the final appraisal report. Traditionally, these comps are selected manually by an appraiser based on recent transactions within...
bachelor thesis 2018
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Wiersma, Ruben (author), Nguyen, Hung (author), Geenen, Alexander (author)
As GeoPhy is developing its business model and looking into the future of automated valu- ation models (AVM), this project delivers a proof of concept of a system that automates the training, maintaining, and delivery of machine learning models for automated valuations. In order to achieve this goal, the situation and problem were first analysed...
bachelor thesis 2017
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Boellaard, B. (author), Bolier, W. (author), Mairet, V. (author), Peeters, T. (author)
This Bachelor Thesis is part of the Bachelor Computer Science and Engineering program at Delft University of Technology. During this project the team had to create an extension to an existing game framework. This extension consisted of improved artificial intelligence for the antagonist and a maze generator that could be re-used as a library....
bachelor thesis 2015
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Andringa, Sytze (author), Zoon, Job (author), van der Werf, Daan (author)
One of the greatest challenges in marketing is measuring the return of investment of a marketing campaign and translating that into a strategy. Companies spend a lot of money on marketing without knowing how eective certain marketing campaigns are. To solve this problem for bunq, we will be using machine learning to create a marketing...
bachelor thesis 2018
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Kolenbrander, Thomas (author), van Oort, Bart (author), de Ruiter, Frank (author), Yue, Tim (author)
This report describes the process of the Bachelorproject(TI3806) done for ‘De Energiebespaarders’, a startup in Amsterdam striving to make homes more energy efficient through accessible advice and installation of insulation or solar panels. The goal of the project was to apply machine learning to improve their system for identifying house...
bachelor thesis 2017
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Safarpour Erfani, Ramin (author), Bilstra, Cas (author), Koppers, Shane (author), List, Floris (author)
Omnicom Media Group (OMG) is a company heavily involved in marketing and advertising. Our client is Annalect, a solutions provider that helps the marketers of OMG to make data actionable. OMG has processed cookie data to help their marketers set up advertisement campaigns. They buy this cookie data from a 3rd party. They also manage, however, a...
bachelor thesis 2017
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Harting, Tom (author), Popping, Sven (author), Post, Mathieu (author), Swaab, Daniël (author)
Being a bank, bunq deals with transaction fraud on a regular basis. All transactions that are handled by bunq are monitored for these cases of fraud by a transaction monitoring system. When this system flags a transaction as being possibly fraudulent, a bunq employee has to manually check this transaction. The problem with the current system is...
bachelor thesis 2017
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Zhou, Lizhongyang (author)
It is desirable to predict construction cost with a high level of accuracy in the early phase to compare the budgetary with feasibility determinations. Additionally, it is required to be as quick as possible. However, the accuracy of the cost estimation depends on the design details which are extremely limited in such an early phase, rendering...
master thesis 2018
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Balayn, Agathe (author)
Training machine learning (ML) models for natural language processing usually requires lots of data that is often acquired through crowdsourcing. In crowdsourcing, crowd workers annotate data samples according to one or more properties, such as the sentiment of a sentence, the violence of a video segment, the aesthetics of an image, ... To...
master thesis 2018
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Dhar, Aniket (author)
Convolutional neural networks are showing incredible performance in image classification, segmentation, object detection and other computer vision applications in recent years. But they lack understanding of affine transformations to input data. In this work, we introduce rotational invariant
convolutional neural networks that learn...
master thesis 2018
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Carzana, Livio (author)
When sunlight illuminates a body, a tiny pressure is exerted upon its surface due to the photons impacting on it. Such a principle forms the basis of solar sailing, in which the solar radiation pressure is used to accelerate highly reflective lightweight structures called solar sails. Similarly, a laser-enhanced solar sail is a solar sail in...
master thesis 2017
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van Hilten, Arno (author)
Cardiovascular diseases and stroke are currently the leading causes of death worldwide. Atherosclerotic plaque is a mostly asymptotic vascular disease, but rupture of an atherosclerotic plaque in the carotid artery could lead to stroke. Automated segmentation of plaque components could help improve risk assessment by producing fast and reliable...
master thesis 2018
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Hes, Robin (author)
This thesis explores the use of machine learning techniques in an effort to increase insurer competitiveness. It asks whether it is possible to accurately estimate the expected financial loss of a given insurance contract and how this information can be used to gain a competitive edge in the business. To answer these questions, some basic...
master thesis 2018
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Diez Sanhueza, Rafael (author)
Turbulence modelling corresponds to one of the greatest unsolved problems in physics and mathematics. This phenomenon is marked by the emergence of chaotic vortex structures in the solution of the Navier-Stokes equations, and it corresponds to the leading-order effect in the majority of the flows observed in nature. Due to the importance of...
master thesis 2018
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Jacobs, Freek (author)
Machine learning applications are increasingly being implemented in socio-technical safety-critical systems, but the safety of these applications is not well understood. This thesis used a mixed-method design and applied four methods to explore the field of machine learning and safety. With the results of these four methods, a framework was...
master thesis 2018
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Uijens, Wouter (author)
Convolutional Neural Networks (CNNs) are achieving state of the art performance in computer vision. One downside of CNNs is their computational complexity. One way to make CNNs more computational efficient is by implementing their convolutions in the frequency domain, using Fast Fourier Transforms (FFTs). This has as a consequence that most...
master thesis 2018
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Dukai, Balázs (author)
There are several 3D city models available openly, worldwide. These models are used in various applications, from which many expects a homogeneous Level of Detail (LoD). Validating the accuracy of the LoD of a model requires the inference its LoD class and its conformance to the real-world object. This process quickly becomes infeasible for...
master thesis 2018
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IJzermans, Erik (author)
The newest generation of aircraft has seen a strong increase in sensor data generated on-board. The available data has the potential to indicate the health state of individual components based on which their maintenance requirements can be determined, a maintenance strategy called Condition Based Maintenance. Predictive Maintenance is a specific...
master thesis 2018
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Breider, Bas (author)
Motocross is a popular, but dangerous sport: improvements in performance and safety should be made to make it more attractive and less dangerous. By automatically recognizing activities of the rider on the track, riders can be informed about dangerous situations, and fans can be provided with insights into the performance of the riders. The goal...
master thesis 2017
Collection: education
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