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de Hartog, André (author)
In this research the effectiveness of analytical neural networks compared to the maximum likelihood method on the prediction of spatial and DOI positioning of a Gamma detector with a NaI(Tl) scintillator of size 590mm x 470mm x 40mm (x,y,z), with a glass lightguide of size 620mm x 500mm x 4mm and a PMT area of 620mm x 500mm x 40mm with 2-inch...
bachelor thesis 2022
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Hazekamp, Emmelien (author)
Signal transduction is a rudimentary and specific way of communication in cells, in which a signal triggers a specific response. However, mimicking these processes in organic materials has been a major challenge. Although, some organocatalysts have been shown to be responsive to specific signals, only limited research has been done using...
bachelor thesis 2019
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Donselaar, Rick (author)
A good understanding of the reservoir architecture of tough gas reservoirs is necessary to define their potential for the hydrocarbon industry. These tough gas reservoirs have been overlooked until now due to the high economic risks of development. These risks are mainly related to the large uncertainties that exist in the reservoir architecture...
bachelor thesis 2014
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Heezen, Mark (author)
Many drugs cannot be made without homogeneous catalysis. To increase the yield of drug synthesis, the search for new catalysts continues. Computational catalysis is becoming a more prominent tool since it en- ables to screen many catalysts without performing (m)any laboratory experiments. In this research a com- putational workflow has been...
bachelor thesis 2022
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de Graaf, Peter-Paul (author), Noordijk, Niels (author)
bachelor thesis 2012
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Abbasi, Anas (author)
Alkali-activated concrete (AAC) has emerged as an environmentally friendly alternative to conventional concrete, as It is a cement-free concrete made by activating precursors (mainly low-cost, low-CO2 industrial by-products) with alkalis. AAC has demonstrated some remarkable mechanical properties and long-term performance (e.g., high strength,...
bachelor thesis 2020
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Kirchner, Joris (author)
Neural network is an active research field which involves many different (unsolved) issues, for example, different types of configuration of the network architectures, training strategies, etc. Amongst these active issues, the choice of loss (or cost) functions plays an important role in how a neural network model is to be optimized (trained)...
bachelor thesis 2022
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Delboo, Maxime (author)
This thesis contains a rigorous derivation of the path integral formulation of the Isingmodel with multiple original proofs. Besides that, thesis also contains various resultsof simulations of the 2D square lattice Ising Model with nearest-neighbour interactionsusing the Swendsen-Wang algorithm. Using finite size scaling to find critical...
bachelor thesis 2022
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Abutan, Lisanne (author)
Interference of light can be used to determine the concentration of a gas, called gas sensing. The absorption of the light by the gas molecules is measured based on the phase change of the light. In this report, a hollow core photonic crystal fiber is treated. The gas sample is inserted into the hollow core. Photonic crystal fibers possess the...
bachelor thesis 2022
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ter Meulen, Bram (author), Lottman, Tim (author)
Geothermal energy is strongly dependent on the geothermal gradient; this means that with increasing depth an increase in temperature is found. The targeted formation of our research is the Hardegsen which reaches depths of around three kilometers in the West Netherlands Basin. At three kilometers depth the temperature is around 90 C˚ which is...
bachelor thesis 2016
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Lyppens, Omri (author)
bachelor thesis 2022
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van Prooijen, Birgit (author)
While the Minimum Euclidean Distance detection is known to be optimal for channels affected by Gaussian noise, it has been shown that Minimum Pearson Distance detection (MPD) may perform better when the channel is also affected by an unknown offset, though for a good performance some adaptations for classical binary block codes are necessary. It...
bachelor thesis 2022
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Swart, Céline (author)
The transverse flute can be studied on many aspects. In this thesis the sound waves that can be generated inside the flute are studied on their shape and frequencies. To achieve this, two mathematical models of the sound waves inside a flute are developed. To develop these models, solutions to the second dimensional wave equation are calculated...
bachelor thesis 2022
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Maesen, Palle (author)
The media watermarking technique domain has had the last 30 years to develop itself. The non-media side, however, is a way newer sub-domain. [1] The data-gathering process for machine learning algorithms is a tedious and time consuming task. This becomes worse as the scale of these algorithms increases. Thus, protecting the datasets against...
bachelor thesis 2023
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Hristov, Tsvetomir (author)
Although digital watermarking has been a well-researched topic for the past decades and has seen numerous implementations for relational databases, it still lacks research for non-relational schema-less databases. In this paper, we explore proposed techniques for non-relational database watermarking and introduce an improved technique for NoSQL...
bachelor thesis 2023
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Doing, Anne-Kee (author)
Observing dust obscured high redshift galaxies is vital to understand the evolution of the early universe and the formation of stars and galaxies. HFLS3 is such a galaxy, and its emission spectrum can be detected at submillimeter wavelengths. With the Deep Spectroscopic High-redshift Mapper 2.0 (DESHIMA 2.0) it is pos- sible to observe these...
bachelor thesis 2021
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Vermeulen, Mark (author)
Current research on osteoporosis detection and transcranial imaging suggests that it is necessary to find a method to calculate the speed of sound in curved bones. A popular method to find the speed of sound in bones is by the bidirectional axial transmission technique. Currently, this method assumes that the arrival time of the head wave...
bachelor thesis 2022
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Singh, Shivani (author)
The goal of this paper is to examine how different presentation strategies of Explanainable Artificial Intelligence (XAI) explanation methods for textual data affect non-expert understanding in the context of fact-checking. The importance of understand- ing the decision of an Artificial Intelligence (AI) in human-AI interaction and the need for...
bachelor thesis 2023
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Smit, Jean-Paul (author)
Deep-learning (DL) models could greatly advance the automation of fact-checking, yet have not widely been adopted by the public because of their hard-to-explain nature. Although various techniques have been proposed to use local explanations for the behaviour of DL models, little attention has been paid to global explanations. <br/>In response,...
bachelor thesis 2023
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Kanniainen, Konsta (author)
Various techniques have been studied to handle unexpected changes in data streams, a phenomenon called concept drift. When the incoming data is not labeled and the labels are also not obtainable with a reasonable effort, detecting these drifts becomes less trivial. This study evaluates how well two data distribution based label-independent drift...
bachelor thesis 2023
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