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Verhagen, Alexandra (author)
Accurate capacity planning is essential to ensure uninterrupted services and network stability through peak hours for the transport core network of KPN. This involves a trade-off between minimizing the risks of capacity shortages and costs of capacity expansions. High network loads are occurring more frequently and their magnitude is increasing....
master thesis 2024
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Brus, Daniël (author)
In many fields we are interested in inference for a complex stochastic process given limited observations regarding its state over time. This thesis therefore introduces an expectation propagation approach to backward filtering forward guiding for high-dimensional finite-state space models. The backward filtering forward guiding method is first...
master thesis 2023
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Kremer, Lotte (author)
In this thesis, we evaluate the statistical procedure based on the similarity index proposed by Ypma and Ross in 'Determing the similarity between expected and observed ageing behavior'. The function for the similarity index is defined based on the inner product of two probability density functions, assumed to be related to the Weibull...
bachelor thesis 2023
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Cuperman Coifman, Rafael (author)
been given to Human Activity Recognition (HAR) based on signals obtained by IMUs placed on different body parts. This thesis studies the usage of Deep Learning-based models to recognize different football activities in an accurate, robust, and fast manner. Several deep architectures were trained with data captured with IMU sensors placed on...
master thesis 2021
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Sengalrayan, Patrick (author)
In baseball, pitchers have a high rate of throwing arm injury, which could lead to disability and less training time. This paper aims at investigating whether upcoming injuries of youth baseball pitchers can be detected before the athlete experiences injury symptoms. A total of 118 elite youth baseball pitchers from the Dutch national baseball...
master thesis 2020
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Liu, Xinyu (author)
One interesting part of the application of human activity recognition is sports motion recognition and classification. In recent years, many commercial wearable devices have been used for recording and supervising motion data information during sports. However, their claimed high-accuracy results but motion recognition and classification method...
master thesis 2020
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Mentink, Alexander (author)
Background: One of the biggest challenges of analyzing electroencephalogram (EEG) data in pain processing is the low signal-to-noise ratio (SNR). A common method to increase the SNR is to average time-locked responses over repeated trials. Unfortunately, relevant information is lost due to averaging. In addition, EEG responses are influenced by...
master thesis 2017
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