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Balestrini, F.I. (author)Seismic methods are widely used for the exploration of the Earth’s subsurface. While they allow higher resolution compared to other geophysical methods, their performance depends on site and geological characteristics, and the volume and type of recorded information. Additionally, data processing plays a critical role in the efficacy of the...doctoral thesis 2023
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Bryan, Lotte (author)Emission of ammonia and nitrogen oxides puts pressure on vulnerable ecosystems in The Netherlands. Satellite data from TROPOMI and CrIS gives vertical column density (VCD) maps for nitrogen dioxide and ammonia respectively. The Flux-Divergence method converts a VCD map to an emission map, by temporally averaging the divergence of the flux of the...master thesis 2022
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Zhang, D. (author)For exploration and development of the earth, seismic surveys are acquired to provide information about the subsurface, within specifications of accuracy set by geologists and engineers, and within business constraints on budgets and turn-around time for processing and interpretation of the data. The case of seismic surveys that are acquired,...doctoral thesis 2022
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Perrenet, Joris (author)The goal of seismic imaging is to create a model of the subsurface from samples of a transmitted wavefield that is reflected in soil layers.<br/>The created model can be used to locate storage possibilities for CO2 or H2 or to find oil and gas reservoirs or other natural resources.<br/>Seismic imaging relies on the propagation of wavefields,...bachelor thesis 2022
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Başaran, Ali (author)Effect handler oriented programming or EHOP for short, is a new programming paradigm aiming to achieve separation of concerns in code which will lead to modular, readable and maintainable code. Since EHOP is significantly new, it is important to assess and compare it against traditional, commonly used paradigms in order to see if a wider...bachelor thesis 2022
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Krisiukėnas, Pijus (author)Due to the devastating consequences of earthquakes, predicting their occurrence before the first strike has been a long standing research topic. Deep learning models have been used to facilitate prediction, using seismograph data to attempt to classify an earthquake right before it happens. However, this is a difficult task and research needs to...bachelor thesis 2022
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van den Akker, Daniel (author)Multi-Layer Perceptron and Support Vector Machine have both been widely used in machine learning. In this research paper, these models have been applied to binary classification on an individual time series basis. The goal was to see whether they can predict earthquakes, using earthquakes measured at specific stations across New Zealand. As it...bachelor thesis 2022
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Blanter, Y.M. (author), Carmiggelt, J.J. (author), Cotofana, S.D. (author), Hamdioui, S. (author), Nikitin, A. A. (author), Reimann, T. (author), Sharma, S. (author), van der Sar, T. (author), Zhang, X. (author)Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still...journal article 2022
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Sattar, Muhammad Awais (author), Martinez Garcia, M. (author), Portela, L. (author), Babout, Laurent (author)Electrical resistance tomography (ERT) has been used in the literature to monitor the gas–liquid separation. However, the image reconstruction algorithms used in the studies take a considerable amount of time to generate the tomograms, which is far above the time scales of the flow inside the inline separator and, as a consequence, the...journal article 2022
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Herrera Semenets, V. (author), Hernández-León, Raudel (author), Bustio-Martínez, Lázaro (author), van den Berg, Jan (author)Telecommunications services have become a constant in people’s lives. This has inspired fraudsters to carry out malicious activities causing economic losses to people and companies. Early detection of signs that suggest the possible occurrence of malicious activity would allow analysts to act in time and avoid unintended consequences. Modeling...conference paper 2022
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Vos, J.V. (author), Vos, D.A. (author), Erkin, Z. (author)Cloud services are an essential part of our digital infrastructure as organizations outsource large amounts of data storage and computations. While organizations typically keep sensitive data in encrypted form at rest, they decrypt it when performing computations, leaving the cloud provider free to observe the data. Unfortunately, access to...conference paper 2022
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Almeida Benalcazar, E.F. (author), Noorman, H.J. (author), Filho, Rubens Maciel (author), Posada Duque, J.A. (author)This study describes a methodological framework designed for the systematic processing of experimental syngas fermentation data for its use by metabolic models at pseudo-steady state and at transient state. The developed approach allows the use of not only own experimental data but also from experiments reported in literature which employ a...book chapter 2022
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Wolska, Ola (author)Optimal decision trees are not easily improvable in terms of accuracy. However, improving the pre-processing of underlying dataset can be the answer to creating more accurate decision trees. In this paper, multiple methods of binarising datasets are considered and the resulting decision trees compared. The binarisation is divided into two stages...bachelor 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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Karagoz, G. (author)We live in an era in which a myriad of computer systems produce immense amounts of (raw) data every day. This big data must be processed efficiently to gain valuable and hidden knowledge. Complex processing pipelines need to be designed for filtering out irrelevant data, also for efficient data mining and machine learning methods must be used...conference paper 2021
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Beltrame, F. (author), Head, A.J. (author), de Servi, C.M. (author), Pini, M. (author), Schrijer, F.F.J. (author), Colonna, Piero (author)This paper reports one of the initial NICFD experiments in the nozzle test section of the ORCHID aimed at providing accurate data for the validation of flow solvers, albeit, at this stage of the research, the focus is limited to inviscid phenomena. Notably, a series of schlieren photographs displaying Mach waves in the supersonic flow of the...conference paper 2021
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Reinoso Rondinel, R. (author), Schleiss, M.A. (author)Conventionally, Micro Rain Radars (MRRs) have been used as a tool to calibrate reflectivity from weather radars, estimate the relation between rainfall rate and reflectivity, and study microphysical processes in precipitation. However, limited attention has been given to the reliability of the retrieved drop size distributions (DSDs) from...journal article 2021
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Kumar, Paras (author)With the rapid growth of unstructured data across different mediums, it exposes new challenges for its analysis. To overcome this, data processing pipelines are designed with the help of different tools and technologies for the analysis of data at different stages. One of the applications which we find useful for our company is the creation of...master thesis 2020
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Naranjo Hernandez, David (author)In 2017 the National Power Company in Iceland, Landsvirkjun, started the operation of a geother- mal power plant in Theistareykir (Northeastern Iceland). The plant’s operation requires extraction, circulation, and injection of the geothermal fluids to produce energy. These processes depend on the existing fracture network of the reservoir....master thesis 2020
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Keunen, Oscar (author)Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a re-occurring problem and impact of floods are ex-pected to increase due to climate change. Accurate flood forecasting andearly warning is critical for disaster risk management...master thesis 2020