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Chen, Qilin (author)Convolutional neural networks (CNNs) are often pruned to achieve faster training and inference speed while also requiring less memory. Nevertheless, during computation, most modern GPUs cannot take advantage of the sparsity automatically, especially on networks with unstructured sparsity. Therefore, many libraries that exploit sparsity, have...bachelor thesis 2022
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Dur, Rens (author)In 1952, Alan M. Turing presented a reaction-diffusion model that described formation of skin patterns. The patterns he predicted have later been found in various natural phenomena, such as in skins of fish or even in vegetation around termite hills. His patterns have even been taken to the micro-level. In 1984, David A. Young proposed a...bachelor thesis 2023
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Ça?layan, F.H. (author), Heij, R.W. (author), Geers, M. (author)Due to advancing technology, genetic sequencing has become cheaper over the years. This has caused the demand for computational power to grow even faster than Moore's law. To remedy this problem, we analyzed low-cost hardware solutions to parallelize the computational part of the genetic sequencing. We proposed a novel method for calculating the...bachelor thesis 2013
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Strengholt, B. (author), Brobbel, M. (author)With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is a big challenge for both engineer and biologist. Researchers are limited by their computational power. In this thesis, first an overview of sequence alignment algorithms will be given. Then a method to store the values of the similarity score...bachelor thesis 2013
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Hadnagy, A. (author)Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...master thesis 2020
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den Boer, Hans (author)Recently, interest in the use of deep learning technology for RF applications has increased. However, many of these studies are focused on developing deep learning models for a particular RF application. Therefore this master thesis focuses on the implementation of these kinds of deep learning models by using FPGAs such that these deep learning...master thesis 2021
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van Kempen, Liza (author)When a grounding incident occurs, the officer of the watch is usually unable to assess the severity of the damage. Most ships do have damage response procedures in place. In case of military ships these are well developed, where a well-trained crew, in the form of damage parties, is available to respond adequately. For non-navy ships, this is...master thesis 2018
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Overwijk, T.T. (author)Static balancing is a technique to create static equilibrium in a mechanism for any configuration. Auxiliary links and many springs are usually added to achieve static balance for spatial parallel mechanisms. This increases inertia and complexity of the system. This paper first presents a theoretically perfect static balancing solution for a...master thesis 2017
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Li, H. (author)Electroencephalograph (EEG) is used in various applications such as diagnosing patients suffering from epilepsy or seizures. Motion artefact is the noise recorded together with the desired biopotential signals. It is mainly introduced by the relative motion between the measurement electrode and the human scalp. Dry electrodes are preferred in...master thesis 2013
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Linssen, Rob (author)The Rotterdam municipality is constantly busy replacing old footbridges that have reached their lifetime. Lately, this is done using modern materials, such as fibre-reinforced polymers (FRP). FRP is a relatively light-weight material that has a high yield strength, which allows for aesthetically pleasing, very slender designs. Governing for such...master thesis 2020
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Karatza, Dimitra (author)The current trend towards the integration of artificial intelligence (AI) and graphics processing unit (GPU) technologies has resulted in the development of embedded hybrid GPU-AI accelerators, which offer high computational power and energy efficiency. One of the key challenges in designing such accelerators is ensuring their timing correctness...master thesis 2023
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Henselmans, G.G.M. (author)Problem situation - Global population is expected to double its size in 2030 (EMF, 2013), so will global consumption. Resource scarcity and associated environmental impact has shown that the current way of conducting business is not sustainable (Bocken et al., 2014). A promising alternative is proposed; circular economy. This new economic system...master thesis 2017
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Wiegman, Linda (author)Since the 1950s, numerical models are widely used in reservoir simulators to predict and optimize oil recovery from petroleum reservoirs. Commercial simulators typically combine multiphase porous media flow models with a separate module for the transport of tracers. By decoupling flow and transport, the transport equation can be solved using a...master thesis 2017
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Dekker, Quinten (author)Dense 3D modeling based on monocular visual data is a powerful process of gaining spatial 3D understanding from 2D observations. The use of visual data to reconstruct such 3D models is still a challenging topic. To obtain the accurate dimensions, additional metadata is required such as a GPS which is not always available. Besides this, dealing...master thesis 2020
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Penders, A. (author)Data analysis is a rising field of interest for computer science research due to the growing amount of information that is digitally available. This increase in data has as direct consequence that any analysis is significantly complex. By using structured representations for the data sets, like graphs, the analysis becomes feasible, but is still...master thesis 2012
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Le, T.N. (author)Prototype single layer armour units on a breakwater slope are observed to break. To predict when breakage occurs, the objective of this research project is to obtain knowledge on, and measurements of the rocking behaviour and failure mode of single layer armour units. A single cube on a breakwater slope is subjected to investigations. An...master thesis 2016
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Geel, Patrick (author)The demand for implementing neural networks on edge devices has rapidly increased as they allow designers to move away from expensive server-grade hardware. However, due to the limited resources available on edge devices, it is challenging to implement complex neural networks. This study selected the Kria SoM KV260 hardware platform due to its...master thesis 2023
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Marigi Rajanarayana, Shashanka (author)Convolution Neural Networks (CNN) are used in many applications ranging from real-time object detection to robot-motion planning. CNNs are implemented on high-performance systems like multi-core CPU and GPU, these are of high power in nature and thus cannot be deployed in edge devices due to their limited battery power. The edge device has to...master thesis 2019
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Miao, Michael (author)Due to recent developments in DNA sequencing technology, there is a growing abundance of available genomic data. To process this information for use in fields such as healthcare and forensics, raw sequencing data have to be processed using computationally intensive algorithms. Currently, one of the major bottlenecks in this processing pipeline...master thesis 2023
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Broekens, K.A. (author)Future high-energy physics demands higher magnetic fields to attain higher beam energies and thus needs novel superconductingmaterials in accelerator magnet applications. Current superconductors operate in the temperature range between 1.8 and 4.2 K and attain 8 T in modern operational machines. Meanwhile, prototypes have been built to operate...master thesis 2016