Searched for: subject%3A%22Gaussian%255C+Process%255C+Regression%22
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Gheysen, Lise (author), Maes, Lauranne (author), Caenen, Annette (author), Segers, Patrick (author), Peirlinck, M. (author), Famaey, Nele (author)
Personalized treatment informed by computational models has the potential to markedly improve the outcome for patients with a type B aortic dissection. However, existing computational models of dissected walls significantly simplify the characteristic false lumen, tears and/or material behavior. Moreover, the patient-specific wall thickness...
journal article 2024
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Khan, Muhammad Hasnain Ayub (author), Jafri, Turab H. (author), Ud-Din, Sameer (author), Ullah, H.S. (author), Nawaz, Muhammad Naqeeb (author)
The laboratory determination of maximum dry density (ρ<sub>dmax</sub>) and optimum moisture content (w<sub>opt</sub>) of soils requires considerable time and energy. Efforts have been made in the past to present models to predict the soil compaction parameters (ρ<sub>dmax</sub> and w<sub>opt</sub>), but the existing models are either...
journal article 2024
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Ban, Hanyuan (author)
Gaussian process regression (GPR), a potent non-parametric data modeling tool, has gained attention but is hindered by its high com- putational load. State-of-the-art low-rank approximations like struc- tured kernel interpolation (SKI)-based methods offer efficiency, yet lack a strategy for determining the number of grid points, a pivotal factor...
master thesis 2023
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Tavio Y Cabrera, Emilio (author)
Soft robots have the potential to accelerate robotiza- tion in areas that are complex and impractical for hard robots. The use of soft materials results in a safe and flexible design that is unattainable for hard robots. However, this attribute results in the need for new control approaches and strategies. Hybrid controllers are a relative...
master thesis 2023
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Shen, C. (author), Zhang, P. (author), Dollevoet, R.P.B.J. (author), Zoeteman, A. (author), Li, Z. (author)
While various train-borne techniques have been developed for measuring railway track stiffness, differentiating stiffness at different track layers remains a challenge. This study proposes a digital twin framework for the vehicle–track interaction system, which enables track stiffness evaluations based on axle box accelerations (ABA). The...
journal article 2023
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Marinescu, M. (author), Olivares, Alberto (author), Staffetti, Ernesto (author), Sun, Junzi (author)
This paper addresses the problem of spatiotemporal wind velocity field estimation for air traffic management applications. Using data obtained from aircraft, the eastward and northward components of the wind velocity field inside a specific air space are calculated as functions of time. Both short-term wind velocity field forecasting and wind...
journal article 2023
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Menzen, C.M. (author), Memmel, E.M. (author), Batselier, K. (author), Kok, M. (author)
This paper presents a method for approximate Gaussian process (GP) regression with tensor networks (TNs). A parametric approximation of a GP uses a linear combination of basis functions, where the accuracy of the approximation depends on the total number of basis functions M. We develop an approach that allows us to use an exponential amount...
journal article 2023
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van Meer, Max (author), Deniz, Emre (author), Witvoet, Gert (author), Oomen, T.A.E. (author)
Sensors in high-precision mechatronic systems require accurate calibration, which is achieved using test beds that, in turn, require even more accurate calibration. The aim of this paper is to develop a cascaded calibration method for position sensors of mechatronic systems while taking into account the variance of the calibration model of...
journal article 2023
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Menzen, C.M. (author), Fetter, Marnix (author), Kok, M. (author)
We present a mapping algorithm to compute large-scale magnetic field maps in indoor environments with approximate Gaussian process (GP) regression. Mapping the spatial variations in the ambient magnetic field can be used for 10-calization algorithms in indoor areas. To compute such a map, GP regression is a suitable tool because it provides...
conference paper 2023
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Veen, Thijs (author)
Indoor localisation is a growing field of interest in recent studies. While GPS (global positioning system) is a standard for outdoor localisation, no such solution exists for indoor applications. The literature provides several methods to obtain the location of indoor systems, often using optical sensors. A small number of recent studies use...
master thesis 2022
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Rakesh Arya, Stephy Annie Curie (author)
The earplug development followed by ALPINE, a hearing protection company is a trial and error method. This method leads to high material wastage. It is also a time-consuming and expensive development process. So, the objective of this thesis is to ease the error earplug development process by implementing a prediction model. The research is...
master thesis 2022
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Martinez Colan, Andres (author)
Bayesian system identification has been extensively adopted in Structural Health Monitoring as a way to probabilistically infer unobservable parameters of the physical model of a structure using measurement data. Combining the Bayesian approach with distributed optic fibre sensors can potentially improve the accuracy and reduce the uncertainty...
master thesis 2022
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Van Meer, Max (author), Poot, Maurice (author), Portegies, Jim (author), Oomen, T.A.E. (author)
Feedforward control is essential to achieving good tracking performance in positioning systems. The aim of this paper is to develop an identification strategy for inverse models of systems with nonlinear dynamics of unknown structure using input-output data, which can be used to generate feedforward signals for a-priori unknown tasks. To this...
journal article 2022
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Tognan, A. (author), Laurenti, L. (author), Salvati, E. (author)
Background: Over the past 20 years, the Contour Method (CM) has been extensively implemented to evaluate residual stress at the macro scale, especially in products where material processing is involved. Despite this, insufficient attention has been devoted to addressing the problems of input data filtering and residual stress uncertainties...
journal article 2022
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Marinescu, Marius (author), Olivares, Alberto (author), Staffetti, Ernesto (author), Sun, Junzi (author)
This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the Adolfo Suarez Madrid-Barajas airport. A continuous nowcast of the wind profile is...
journal article 2022
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Heng, J. (author), Zheng, Kaifeng (author), Feng, Xiaoyang (author), Veljkovic, M. (author), Zhou, Zhixiang (author)
This study integrates the fatigue test and numerical prediction to derive a comprehensive probability-stress-life (P-S-N) curve for rib-to-deck (RD) welded joints in orthotropic steel decks. Fatigue tests of RD joints are conducted to measure fatigue strength and crack growth data. Based on the test, a probabilistic fatigue crack growth (PFCG...
journal article 2022
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Heng, J. (author), Zhou, Zhixiang (author), Zou, Yang (author), Kaewunruen, Sakdirat (author)
Rib-to-deck (RD) welded joints in orthotropic steel decks (OSDs) of bridges demonstrates two major fatigue failure models, including the toe-to-deck (TTD) cracking and root-to-deck (RTD) cracking. Generally, the sole failure model is employed in the fatigue assessment of RD joints, causing a hot dispute on the dominant failure model. In this...
journal article 2022
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van der Leest, Max (author)
Exploiting electric vehicles for maintaining a stable electricity grid is a promising opportunity, which is recognized by both the academic and industrial world. Although the concept is relatively simple, the operating space containing many different stakeholders, rules and legislation is not. There are various practical issues that complicate...
master thesis 2021
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Molenaar, Tobias (author)
The derivation of water quality indicators is of importance, especially in coastal areas, as most of the economic activities are located here. However, the availability of high-spatial-resolution water quality information in coastal zones is limited. Nowadays, high-resolution satellite data is becoming available and can fill in this knowledge...
master thesis 2021
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Graas, Rik (author)
Several initiatives are being developed to shift the current paradigm in Air Traffic Management (ATM) from the tactical-based approach to more strategic-based coordination of flights. This transformation of the ATM system relies on the improvement of predictive models that predict the 4D-trajectory of an aircraft. Previous studies primarily...
master thesis 2021
Searched for: subject%3A%22Gaussian%255C+Process%255C+Regression%22
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