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Gommans, Wim (author)This research aims to enhance the understanding and quantification of logistics in the Netherlands by identifying factors influencing freight activities in urban areas. Using a linear regression model developed from BasGoed freight tour data, CBS location data, and Dutch zonal plan data, the study integrates 26 variables to predict freight trip...master thesis 2024
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Li, G. (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Traffic condition forecasting is fundamental for Intelligent Transportation Systems. Besides accuracy, many services require an estimate of uncertainty for each prediction. Uncertainty quantification must consider the inherent randomness in traffic dynamics, the so-called aleatoric uncertainty, and the additional distrust caused by data shortage...journal article 2024
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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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Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory prediction contains many sources of uncertainty in data and modelling. A thorough understanding of this uncertainty is crucial in a safety-critical task like auto-piloting a vehicle. In practice, it is necessary to distinguish between the uncertainty...journal article 2024
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Tognan, A. (author), Patanè, Andrea (author), Laurenti, L. (author), Salvati, Enrico (author)Accurate fatigue assessment of material plagued by defects is of utmost importance to guarantee safety and service continuity in engineering components. This study shows how state-of-the-art semi-empirical models can be endowed with additional defect descriptors to probabilistically predict the occurrence of fatigue failures by exploiting...journal article 2024
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Rocchetta, Roberto (author), Zhan, Zhouzhao (author), van Driel, W.D. (author), Di Bucchianico, Alessandro (author)Lifetime analyses are crucial for ensuring the durability of new Light-emitting Diodes (LEDs) and uncertainty quantification (UQ) is necessary to quantify a lack of usable failure and degradation data. This work presents a new framework for predicting the lifetime of LEDs in terms of lumen maintenance, effectively quantifying the natural...journal article 2024
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Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Resolving predicted conflicts is vital for safe and efficient autonomous vehicles (AV). In practice, vehicular motion prediction faces inherent uncertainty due to heterogeneous driving behaviours and environments. This spatial uncertainty increases non-linearly with prediction time horizons, leading AVs to perceive more road space occupied by...journal article 2024
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Diab Montero, H.A. (author), Størksen Stordal, Andreas (author), van Leeuwen, Peter Jan (author), Vossepoel, F.C. (author)Probabilistic forecasts are regarded as the highest achievable goal when predicting earthquakes, but limited information on stress, strength, and governing parameters of the seismogenic sources affects their accuracy. Ensemble data-assimilation methods, such as the Ensemble Kalman Filter (EnKF), estimate these variables by combining physics...working paper 2024
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Salvador, Matteo (author), Kong, Fanwei (author), Peirlinck, M. (author), Parker, David W. (author), Chubb, Henry (author), Dubin, Anne M. (author), Marsden, Alison L. (author)In recent years, blending mechanistic knowledge with machine learning has had a major impact in digital healthcare. In this work, we introduce a computational pipeline to build certified digital replicas of cardiac electrophysiology in paediatric patients with congenital heart disease. We construct the patient-specific geometry by means of...journal article 2024
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Klinkenberg, Edwin (author)Unilateral Condylar Hyperplasia (UCH) is a rare and complex asymmetric growth disorder affecting the mandible. The disease is characterized by growth resembling hyperactivity in one of the condyles. Treatment of UCH requires a personalised approach that aims to stop the progression and/or correct the deformity caused by the disease. The choice...master thesis 2023
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van Tunen, Rick (author)Congenital heart disease (CHD) affects almost 1% of newborns. Right ventricular outflow tract (RVOT) CHD affects 20% of newborns and includes anomalies such as tetralogy of Fallot (TOF) with or without pulmonary atresia, transposition of the great vessels, and truncus arteriosus. All these anomalies require RVOT reconstruction. Prosthetic heart...master thesis 2023
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Smeenk, Rutger (author)This research aims at quantifying the uncertainty in the predictions of tensor network constrained kernel machines, focusing on the Canonical Polyadic Decomposition (CPD) constrained kernel machine. Constraining the parameters in the kernel machine optimization problem to be a CPD results in a linear computational complexity in the number of...master thesis 2023
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Sennema, Erik (author)Intrusion detection systems (IDSs) are essential for protecting computer systems and networks from malicious attacks. However, IDSs face challenges in dealing with dynamic and imbalanced data, as well as limited label availability. In this thesis, we propose a novel elastic gradient boosting decision tree algorithm, namely Elastic CatBoost...master thesis 2023
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Ikeda, Yukiko (author)Current cravings for more are taking a great toll on the Earth and its most vulnerable communities. The rise in ’fast furniture’ has contributed to this issue, popularizing the idea that furniture can be cheap, to the point of being disposable. To understand the size of this issue and how much more damage to the environment might be in store if...master thesis 2023
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Garcia Bonilla, Juan (author)Solar sailing is a promising propellantless propulsion method that employs large reflective surfaces to harness solar radiation pressure for spacecraft propulsion. Despite the fact that several solar-sail near-Earth missions will launch in the coming years, there is notable lack of published studies on the uncertainties associated with missions...master thesis 2023
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Mészáros, L. (author)This thesis presents a doctoral research where statistical concepts and techniques are applied to problems at the interface of marine and atmospheric processes. The research was conducted at the Statistics group of the Delft Institute of Applied Mathematics (TU Delft) and the Marine and Coastal unit of Deltares. The main objective of the work is...doctoral thesis 2023
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Tzoutzidis, Nathanail (author)Climate change and extreme heat are critical issues which have been faced all over the world. Consequently, designers strive to monitor and assess the performance of facades by developing environmental assessments at the early design stages, since design changes do not require many resources. Rapid urban expansion in many parts of the world is...master thesis 2023
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van Loosbroek, Suus (author)<b>Background: </b>The diaphragm is poorly monitored in the Intensive care unit (ICU), despite its evident importance in respiration. Ultrasound (US) is frequently employed to evaluate diaphragm thickness (DT) and diaphragm thickening factor (DTF) but requires expertise and only covers a small diaphragm area. Therefore, advanced US (post-...master thesis 2023
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Huang, Ketong (author)Hierarchy is a network property that identifies the organisation and importance of network elements. Public transport systems consist of stops organised by connections, which can be regarded as networks. In a Public Transport Network (PTN) with a high hierarchy, the number of elements gradually decreases as their importance increases, where the...master thesis 2023
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Koopman, Laura (author)<b>Introduction </b>Aortic valve regurgitation (AR) is a common type of aortic valve disease that affects the surrounding tissues of the heart. Surgery may be required in patients with acute or chronic AR, aortic root disease or ascending aortic dissection. A viable alternative to traditional aortic valve replacement that offers encouraging...master thesis 2023