Searched for: subject%3A%22Correlations%22
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Angenent, Sylke (author)
Measure Correlate Predict (MCP) is a method used to characterize the future wind resource at potential new wind farm locations. It finds a relationship between the wind data obtained at the target site and a nearby reference site over a short time period. This relationship is applied to long-term historical data from the reference site in order...
master thesis 2023
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Srikanth, Vikram (author)
Small satellite systems such as CubeSats and PocketQubes have strict requirements in terms of size, weight, and power available onboard. In light of these constraints, small satellite systems typically omit the inclusion of a ranging system due to its power and specialized hardware requirements. However, new research in satellite ranging...
master thesis 2023
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Zhang, Chenrui (author)
Stroke, currently ranked as the second leading cause of mortality and the most prevalent source of enduring disability, imposes significant societal and economic consequences. These consequences encompass the necessity for extended care, rehabilitation, and the economic burdens associated with lost productivity. In the diagnostic process,...
master thesis 2023
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Muntenaar, Laura (author)
Demand for smart, Internet-connected devices and other electronics has increased dramatically in recent years. This increase in demand for technological devices, driven by advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and autonomous systems, has exposed the digital system to potential security threats. As more...
master thesis 2023
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CHEN, YUYUAN (author)
master thesis 2023
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Eblé, Leonard (author)
Currently, hydrogen consumption is heavily concentrated within larger inflexible industrial applications, where it is produced onsite for further downstream processing. Considering traditional production pathways have a high emission intensity, electrolytic hydrogen production could prove an essential decarbonization pathway for existing,...
master thesis 2023
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Nooteboom, Tim (author)
The study delves into the crucial role of undrained shear strength in the stability of civil engineering projects involving soft soils. It explores the enhancement of this strength through (pre)loading in conjunction with Prefabricated Vertical Drains (PVDs). The Stress History and Normalized Soil Engineering Properties (SHANSEP) framework is...
master thesis 2023
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Onen, Cagan (author)
Occupancy grid maps are fundamental to autonomous driving algorithms, offering insights into obstacle distribution and free space within an environment. These maps are used for safe navigation and decision-making in self-driving applications, forming a crucial component of the automotive perception framework. An occupancy map is a discretized...
master thesis 2023
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Figueira Comojo, Gregor (author)
This research explores the correlation between chewing activities and non-chewing activities using an Arduino microcontroller. Chewing samples are recorded by attaching the microcontroller to the back of the jaw, underneath the ear. The microcontroller collects data from a microphone capturing audio data of chewing sounds, as well as an Inertial...
bachelor thesis 2023
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Buşe, Florena (author)
Thus far the democratization of machine learning, which resulted in the field of AutoML, has focused on the automation of model selection and hyperparameter optimization. Nevertheless, the need for high-quality databases to increase performance has sparked interest in correlation-based feature selection, a simple and fast, yet effective approach...
bachelor thesis 2023
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Hall, Alize (author)
A method to help renewables flourish is mitigating the variability that is inherent in natural resources. To do so, we explore the intricacies of the relationship between airborne wind (AWE) and solar energy to uncover the possibilities of future energy-generating hybrid power plants (HPP). Which leads to steering away from fossil fuel reliance,...
master thesis 2023
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Bon, Thijs (author)
Limiting transport poverty is consequential in improving well-being and employment levels, which play meaningful roles in deciding public policy. We analyze how different socioeconomic and built environment factors are related to the transport poverty environment for car and public transport in terms of strength, significance, and direction for...
student report 2023
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Amin, Shashank (author)
Kirigami- the Japanese art of paper cutting – is used extensively as a design philosophy for stretchable and morphable structures. An array of cuts on a thin planar sheet creates a structure that can morph into a 3D pattern on applying an in-plane uniaxial load. This type of structure is called a kirigami metasurface. A subset of this type of...
master thesis 2022
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Chandran, Godwin Rayan (author)
Video Object Detectors (VID) are used in various applications such as surveillance, inspection, etc. Often in these applications there exists a spatial area of interest and a static background. The static backgrounds remain constant throughout the video sequence in the training data establishing an undesirable correlation with the moving object...
master thesis 2022
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Hunter, William (author)
Atrial fibrillation is a common cardiovascular disease, affecting the regular beating of the heart through chaotic contraction of the heart's upper chambers. On its own, the condition—increasingly prevalent among the elderly—is not life threatening, but it leads to an increased risk of stroke and heart failure. As of yet, there is no consensus...
master thesis 2022
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Brouwer, Hans (author)
Synthesizing audio-reactive videos to accompany music is challenging multi-domain task that requires both a visual synthesis skill-set and an understanding of musical information extraction. In recent years a new flexible class of visual synthesis methods has gained popularity: generative adversarial networks. These deep neural networks can be...
master thesis 2022
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Guan, Zenan (author)
Out-of-Domain (OOD) generalization is a challenging problem in machine learning about learning a model from one or more domains and making the model perform well on an unseen domain. Empirical Risk Minimization (ERM), the standard machine learning method, suffers from learning spurious correlation in the training domain, therefore may perform...
bachelor thesis 2022
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Spasov, Mihail (author)
Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...
bachelor thesis 2022
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ten Brink, Tip (author)
As super-resolution methods make it possible to capture images at a resolution beyond the diffraction limit, they have no straightforward measure for optical resolution. Consequently, signal-to-noise ratio-based methods to determine resolution such as Fourier Ring Correlation (FRC) have seen increased<br/>use. We look at a new method, called...
bachelor thesis 2022
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Chinari Subhechha Subudhi, Subhechha (author)
The applications for which the data from Earth observation satellites can be used are dependent on the precision and accuracy of the position of the satellite. Hence, precise orbit determination of satellites is crucial for the success of Earth observation satellites like the Sentinel family of satellites. TU Delft is an analysis center of the...
master thesis 2022
Searched for: subject%3A%22Correlations%22
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