Searched for: +
(41 - 60 of 144)

Pages

document
Brussen, Arjen (author)
Year after year, the amount of network intrusions and costs associated to them rises. Research in this area is, therefore, of high importance and provides valuable insight in how to prevent or counteract intrusions. Machine learning algorithms seem to be a promising answer for automated network intrusion detection, as their results often reach...
master thesis 2021
document
Smit, Jim (author)
Background: The covid-19 pandemic has overwhelmed hospitals worldwide and clinical prediction models may assist in timely identification of covid-19 patients at risk for clinical deterioration, i.e. `early warning'. In this article, we report on the development and validation of a new early warning model that predicts unplanned ICU admission or...
master thesis 2021
document
Bilstra, Cas (author)
Machine learning models are increasing in popularity and are nowadays used in a wide range of critical applications in fields such as Automotive, Aviation and Medical. Among machine learning models, tree ensemble models are a popular choice due to their competitive performance and high degree of explainability. Like most machine learning models...
master thesis 2021
document
Andringa, Sytze (author)
Enterprise Modelling (EM) is the process of producing models, which in turn can be used to support understanding, analysis, (re)design, reasoning, control and learning about various aspects of an enterprise. Various EM techniques and languages exist, and are often supported by computational tools, in particular simulation. The goal of this...
master thesis 2021
document
Albeesh, Deema (author)
The use of wireline facies associations can alleviate core data shortage during facies prediction by providing a more extensive input dataset. Wintershall has assigned wireline facies associations directly on cored and un-cored wells in the Carboniferous of the Sothern North Sea. Conducting facies prediction using these wireline facies...
master thesis 2021
document
Veldhuis, Marthe (author)
Using machine learning to determine the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles has been shown to obtain good accuracy. However, the models used so far are not transparent to users as they only output a prediction without any reasoning for that conclusion. Therefore, we leverage techniques from the field of...
master thesis 2021
document
van den Heuvel, Stefan (author)
Inertial measurement units (IMUs) are getting more and more incorporated into our lives due to their improving accuracy, lower cost and smaller sizes. Applications for inertial-based orientation estimation can already be found in the field of computer vision, aerospace engineering, robotics, navigation, biomechanics, health monitoring and sports...
master thesis 2021
document
Kooijman, Iris (author)
In financial mathematics, stochastic processes are regularly used to describe observed financial indicators such as stocks, options, futures or interest rates. Identifying the underlying dynamics of observed financial time series is crucial in risk management, as it greatly affects pricing and hedging strategies. The large number of available...
master thesis 2021
document
Bikulčiūtė, Goda (author)
The concept of sustainability takes into account a problem of urbanisation which causes a phenomenon of urban sprawl. In order to fight it, the strategy of urban densification is introduced and building upward extensions is one of the methods. However, investigating the feasibility of placing an extension on top requires a significant amount of...
master thesis 2021
document
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
document
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
document
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
document
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
document
Schuit, Berend (author)
master thesis 2021
document
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
document
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
document
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
document
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
document
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
document
van den Berg, Ronald (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
Searched for: +
(41 - 60 of 144)

Pages