Searched for: subject:"machine%5C+learning"
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Roozendaal, Tjark (author)
This report concerned the development of a soft robotic module for a seat pan, its optimization and application. The soft robotic module has an LED and photosensors for determining the distance of indentation and the passive force created by compressing the foam spring inside. An air pressure sensor is used to determine the active force created...
master thesis 2021
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van der Leij, David (author)
Refactoring is the process of improving the structure of code without changing its functionality. The process is beneficial for software quality but challenges remain for identifying refactoring opportunities. This work employs machine learning to predict the application of the refactoring type Extract Method in an industry setting with the use...
master thesis 2021
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de Krom, Bart (author)
Recent developments in supply chains and supply chain management (SCM) lead to increased complexity and vulnerability of supply chain operations. Therefore, it is needed to better anticipate and prepare for or prevent disruptions from occurring. Increasing interest for the application of machine learning in supply chain (risk) management has...
master thesis 2021
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Mohamedhoesein, Majid (author)
Recently machine learning (ML) has become increasingly popular, and has been shown to be a powerful predictive technique. The applications of ML cover a wide range of disciplines, including the natural sciences. Presently, the field of catalysis is still relatively unexposed to ML and other data-driven techniques. This can largely be attributed...
master thesis 2021
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Saz Ulibarrena, Veronica (author)
The use of low-thrust propulsion for interplanetary missions requires the implementation of new methods for the preliminary design of their trajectories. This thesis proposes a method using the Monotonic Basin Hopping global optimization algorithm to find feasible trajectories with optimum use of the mass of fuel for the case in which the...
master thesis 2021
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Pereboom, Leonie (author)
The aim of this research is to build a machine learning model in order to predict the success of invasive surgical treatment on a degenerated cervical spine, based on the baseline X-ray images. The purpose of the results of this research is an application in computer-aided diagnostics and treatment planning in the field of neurosurgery. Spinal...
master thesis 2021
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van Veelen, Frank (author)
In the past years, small Earth Observation (EO) satellites have become increasingly capable of taking high-resolution images at high sample rates. These images contain valuable information for different sectors, such as the agricultural and military sector. Furthermore they can contain important information about the climate and climate change....
master thesis 2021
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Martens, Savine (author)
The automotive industry is foreseeing a future where driver and car will form a synergy, by allowing the car to predict the driver’s intent. Nissan has already successfully predicted the intent to make lane changes in a driving simulator with just six electroencephalography (EEG) electrodes on the movement related cortical potential using...
master thesis 2021
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den Hartog, Dylan (author)
Background: Osseointegration is a relatively new alternative for a socket to attach an artificial limb to the stump of an amputee. In a surgical procedure, a metal implant is permanently anchored and integrated into the bone of the stump. Amputees with an osseointegrated prosthesis have indicated that they experience better physical control over...
master thesis 2021
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van der Meijden, Siri (author)
Intensive Care Unit (ICU) readmission is a serious adverse event associated with high mortality rates and costs. Prediction of ICU readmission could support physicians in their decision to discharge patients from the ICU to lower care wards. Due to increasing ICU data availability, Artificial Intelligence (AI) models in the form of machine...
master thesis 2021
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Schuit, Berend (author)
master thesis 2021
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Chotkan, Shaniel (author)
During intense periods of drought, the development of cracks is observed in peat and clay dikes. Asset managers of the dikes increase the inspection frequency in times of drought to be able to monitor these cracks. Significant development of the cracks contributes to the development of different failure mechanisms. In this study, the occurrence...
master thesis 2021
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Vogiatzis, Anastasios (author)
Everything around us is rapidly changing. Whole new blocks of buildings are built, huge infrastructural projects are constructed and so on. Hence, there is a need of a reliable and up-to-date inventory of the area and the objects of interest for mapping and monitoring assets and their changes. An answer of this upcoming need is an automated...
master thesis 2021
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Levenbach, Robert (author)
In this research, Dutch phoneme recognition (PR) is researched and improved. The last research on Dutch PR dates back to 1995. This research presents Dutch PR in modern daylight by researching state-of-the-art techniques found in research on other languages and implementing them on Dutch PR. The goal of this research is to find the current best...
master thesis 2021
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Masah, Ghazal (author)
With an increase of data documentation and standardization in the construction field in The Netherlands, by norms such as the NEN, there is a possibility to introduce data-driven approaches to certain areas within the construction industry. One of these is the area of budget estimation which is currently fully dependent on a cost estimating...
master 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
Searched for: subject:"machine%5C+learning"
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