Searched for: subject%3A%22computational%255C%2Bmodeling%22
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van den Biggelaar, Lars (author)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a respiratory virus capable of infecting humans and causing mild to severe complications during and after infection, which collectively comprise coronavirus disease 2019 (COVID-19). After an initial local epidemic in late 2019, the virus quickly spread on a global scale and was...
bachelor 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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Cazier, Jordi (author)
The solute transport across the osteochondral (OC) interface is of crucial metabolic importance for a normal function of articular cartilage, and, therefore, for the OC interface as a whole. A better understanding how the mechanical- and physiological properties of the OC interface affect the solute transport across the OC interface could lead...
master thesis 2023
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Stienstra, Timo (author)
Bicycles have been studied extensively over the past 200 years, with mathematical models providing valuable insights into various aspects of bicycle dynamics and rider control. However, the lack of a common framework for creating and sharing bicycle-rider models hinders the development of advanced models, research reproducibility, and...
master thesis 2023
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van der Zwaard, Fenne (author)
Models for oxygen transport in preterm infants can aid the development and evaluation of automated oxygen controllers by providing insight into the FiO2-SpO2 response and enabling virtual trials. A computer simulation model of oxygen transport in preterm infants is developed and FiO2-SpO2 responses in preterm infants are investigated. The model...
master thesis 2023
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Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon M. (author), van Oort, N. (author), Goverde, R.M.P. (author)
The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict...
journal article 2023
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Li, G. (author), Pidko, E.A. (author)
The molecular-sized void space of the zeolitic micropores is perfect matrices to encapsulate and stabilize multicomponent and multifunctional complexes that can be used as active sites for a wide range of important catalytic transformations. In this article, we discuss and analyze the key developments of the last decade in the catalytic...
book chapter 2023
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Coppola, R. (author), Peruffo, A. (author), Mazo, M. (author)
We introduce a novel approach for the construction of symbolic abstractions - simpler, finite-state models - which mimic the behaviour of a system of interest, and are commonly utilized to verify complex logic specifications. Such abstractions require an exhaustive knowledge of the concrete model, which can be difficult to obtain in real...
journal article 2023
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Canbaloğlu, Gülay (author), Treur, J. (author), Wiewiora, Anna (author)
This paper addresses formalization and computational modeling of multilevel organizational learning, which is one of the major challenges for the area of organizational learning. It is discussed how various conceptual mechanisms in multilevel organizational learning as identified in the literature, can be formalized by computational mechanisms...
conference paper 2023
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Canbaloğlu, Gülay (author), Treur, J. (author), Wiewiora, Anna (author)
This paper addresses formalisation and computational modelling of context-sensitive control over multilevel organisational learning and in particular the role of the leadership style in influencing feed forward learning flows. It addresses a realistic case study with focus on the role of managers for control of multilevel organisational learning...
conference paper 2023
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Dr Pirola, S.P. (author), Arzani, Amirhossein (author), Chiastra, Claudio (author), Sturla, F. (author)
contribution to periodical 2023
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Bose, Shirsha (author), Fereidoonnezhad, B.F. (author), Akbarzadeh Khorshidi, Majid (author), Watschke, Brian (author), Mareena, Evania (author), Nolan, Daragh (author), Cooney, Sean (author), Cullen, Ivor M. (author), Lally, Caitríona (author)
INTRODUCTION: Erectile dysfunction (ED) affects to some degree approximately 52% of the male population aged 40-70 years. Many men do not respond to, or are precluded from using, pharmaceutical treatments for ED and are therefore advised to consider penile prostheses. Different types of penile prosthesis are available, such as inflatable...
review 2023
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Marão Patrício, M.L. (author), Jamshidnejad, A. (author)
Interactive machines should establish and maintain meaningful social interactions with humans. Thus, they need to understand and predict the mental states and actions of humans. Based on Theory of Mind (ToM), in order to understand and interact with each other, humans develop cognitive models of one another. Our main goal is to provide a...
journal article 2023
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Minderhoud, Savine C.S. (author), Hirsch, Alexander (author), Marin, Francesca (author), Kardys, Isabella (author), Rodriguez Matas, Jose Felix (author), Chiastra, Claudio (author), Roos-Hesselink, Jolien W. (author), Wentzel, Jolanda J. (author), Helbing, Willem A. (author), Akyildiz, A.C. (author)
Background: Optimal timing of pulmonary valve replacement (PVR) in Tetralogy of Fallot (TOF) patients remains challenging. Ventricular wall stress is considered to be an early marker of right ventricular (RV) dysfunction.<br/><br/>Objectives: To investigate the association of RV wall stresses and their change over time with functional parameters...
journal article 2023
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Huang, R. (author), Zhao, Xuan (author), Yuan, Y. (author), Yu, Qiang (author), Liu, Chengqing (author), Daamen, W. (author)
Pedestrian tactical choices and operational movement in evacuations essentially pertain to decision-making under risk and uncertainty. However, in microscopic evacuation models, this attribute has been greatly overlooked, even lacking a methodology to delineate the related decision characteristics (bounded rationality and risk attitudes), let...
journal article 2023
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Dudzik, B.J.W. (author), Hung, H.S. (author), Neerincx, M.A. (author), Broekens, D.J. (author)
In this article we introduce Mementos: the first multimodal corpus for computational modeling of affect and memory processing in response to video content. It was collected online via crowdsourcing and captures 1995 individual responses collected from 297 unique viewers responding to 42 different segments of music videos. Apart from webcam...
journal article 2023
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Ebrahimi, Amin (author)
The growing demand for manufactured products with complex geometries requiring advanced fusion-based manufacturing techniques emphasises the importance of process development and optimisation to reduce the risk of adverse outcomes, which is currently impeded with traditional approaches (trial and error experiments). Development, optimisation and...
doctoral thesis 2022
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Cicirello, A. (author), Giunta, F. (author)
Two non-intrusive uncertainty propagation approaches are proposed for the performance analysis of engineering systems described by expensive-to-evaluate deterministic computer models with parameters defined as interval variables. These approaches employ a machine learning based optimization strategy, the so-called Bayesian optimization, for...
journal article 2022
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Wu, L. (author), Rao, Siddharth (author), Taouil, M. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Hamdioui, S. (author)
The manufacturing process of STT-MRAM requires unique steps to fabricate and integrate magnetic tunnel junction (MTJ) devices which are data-storing elements. Thus, understanding the defects in MTJs and their faulty behaviors are paramount for developing high-quality test solutions. This article applies the advanced device-aware test to...
journal article 2022
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He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)
Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...
journal article 2022
Searched for: subject%3A%22computational%255C%2Bmodeling%22
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