Searched for: subject%3A%22Correlation%22
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Parolya, N. (author), Heiny, Johannes (author), Kurowicka, D. (author)
Consider a random vector y = Σ <sup>1/2</sup> x, where the p elements of the vector x are i.i.d. real-valued random variables with zero mean and finite fourth moment, and Σ <sup>1/2</sup> is a deterministic p × p matrix such that the eigenvalues of the population correlation matrix R of y are uniformly bounded away from zero and infinity. In...
journal article 2024
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Zhang, H. (author)
In recent decades, dielectric lens antennas have been more and more adopted and developed for sensing and imaging applications at sub-millimeter (sub-mm) wavelengths because they can achieve high gain while keeping their physical size and weight acceptable at these wavelengths. More recently, as low-loss and low-cost lens materials have become...
doctoral thesis 2024
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Doğan, D. (author), Leus, G.J.T. (author)
We consider the problem of recovering complex-valued block sparse signals with unknown borders. Such signals arise naturally in numerous applications. Several algorithms have been developed to solve the problem of unknown block partitions. In pattern-coupled sparse Bayesian learning (PCSBL), each coefficient involves its own hyperparameter...
journal article 2024
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Sadowski, Adam Jan (author), Wong, W.J. (author), Li, Sai Chung Simon (author), Málaga-Chuquitaype, Christian (author)
This article describes a dataset used to calibrate a finite element model of a thick circular hollow section (CHS) with varying d/t (diameter to thickness) ratio under cyclic loading which may be used as a computational model validation benchmark by researchers working on similar problems in structural and mechanical engineering. The test...
journal article 2024
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Bajaj, V. (author), Van de Plas, Raf (author), Wahls, S. (author)
While probabilistic constellation shaping (PCS) enables rate and reach adaption with finer granularity [1] (Cho and Winzer, 2009), it imposes signal processing challenges at the receiver. Since the distribution of PCS-quadrature amplitude modulation (QAM) signals tends to be Gaussian, conventional blind polarization demultiplexing algorithms...
journal article 2024
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Psychas, D.V. (author), Khodabandeh, A. (author), Teunissen, P.J.G. (author)
PPP-RTK corrections, aiding GNSS users to achieve single-receiver integer ambiguity-resolved parameter solutions, are often estimated in a recursive manner by a provider. Such recursive, multi-epoch, estimation of the corrections relies on a set of S-basis parameters that are chosen by the provider so as to make the underlying measurement...
journal article 2024
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Önen, Çağan (author), Pandharipande, Ashish (author), Joseph, G. (author), Myers, N.J. (author)
Occupancy grid maps provide information about obstacles and available free space in the environment and are crucial in automotive driving applications. An occupancy map is constructed using point cloud data from sensor modalities such as light detection and ranging (LiDAR) and radar used for automotive perception. In this article, we...
journal article 2024
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Ren, S. (author), Liu, X. (author), Erkens, S. (author)
This study implements molecular dynamics (MD) simulations to explore the atomic-level energy properties of rejuvenated bitumen, considering the influence of different recycling agent (RA) types, dosages and aging levels of bitumen. Moreover, the potential correlations between energy indices and high-temperature performance of rejuvenated bitumen...
journal article 2024
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Shiotani, T. (author), Ogura, N. (author), Okude, N. (author), Watabe, K. (author), Van Steen, C. (author), Tsangouri, E. (author), Lacidogna, G. (author), Czarnecki, S. (author), Chai, H. K. (author), Yang, Y. (author), Verstrynge, E. (author), Aggelis, D. G. (author)
Aging infrastructure globally faces degradation, posing risks and requiring substantial repair investment. Strategic maintenance practices are crucial for evaluating structural conditions and ensuring sustainability. The growing demands on modern materials and structures necessitate enhanced health monitoring approaches. Shifting from...
journal article 2024
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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
Searched for: subject%3A%22Correlation%22
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