Searched for: subject%3A%22Hierarchical%22
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Luan, Liping (author), Shi, Puxin (author), Wang, Zhi (author), Kapteijn, F. (author), Liu, Xinlei (author)
Novel membrane materials for H<sub>2</sub> separation are wanted. How to overcome the “trade-off” between membrane permeability and selectivity is a tough challenge. Here we report new random organic framework membranes with benzimidazole and imine linkages to form hierarchical channels. Both high H<sub>2</sub>-selective and fast H<sub>2</sub...
journal article 2024
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Guendel, R.G. (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
In this study, the problem of multipath in radar sensor networks for human activity recognition (HAR) has been examined. Traditionally considered as a source of additional clutter, the multipath is being investigated for its potential to be exploited through the creation of virtual radar nodes. These virtual nodes are conceptualized to...
journal article 2024
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Lai, Li (author), Dong, You (author), Andriotis, C. (author), Wang, Aijun (author), Lei, Xiaoming (author)
Effective transportation network management systems should consider safety and sustainability objectives. Existing research on large-scale transportation network management often employs the assumption that bridges can be considered individually under these objectives. However, this simplification misses accurate system-level representations,...
journal article 2024
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Wang, Ran (author), Wang, Tongbing (author), Lee, Chia-Jung (author), Liu, Zhengxuan (author), Zhang, G. (author)
To explore factors that influence the likelihood of committing fraud in the construction industry, this study concentrated on senior executives and tested whether some characteristics at the individual and firm levels have impacts on the likelihood of fraud committed by top management. Based on social network theory, this study first proposes...
journal article 2024
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van Dijk, Julian (author)
The Hierarchical Subspace Iteration Method is a novel method used to compute eigenpairs of the Laplace-Beltrami problem. It reduces the number of iterations required for convergence by restricting the problem to a smaller space and prolonging the solution as a starting point. This method has shown great performance improvements for Laplace...
master thesis 2023
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Alaka, Shaad (author)
Virtual worlds are rapidly increasing in size, enabled by advancements in computing technology, which puts a large burden on designers creating them.<br/>Procedural Content Generation can help alleviate this burden, though lacks precise control, to the detriment of designer intent. Some PCG algorithms, such as Wave Function Collapse (WFC), known...
master thesis 2023
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Nijhof, Daan (author)
Following the European Green Deal, transport- related emissions must be reduced by 90% in 2050. While aviation contributes to a significant share of these emissions, the substitution of flights for rail travel is often considered to achieve a reduction in emissions of greenhouse gasses. Mostly, travelers consider this option when the full trip...
master thesis 2023
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Vinatselas, Theodoros (author)
This thesis discusses the characterization of the undrained shear strength, S_u from the net cone resistance, q_net of clay in Dutch sites using Hierarchical Bayesian Modelling (HBM). The performance of the HBM is compared with the current practice methods of the site characterization which propose either the use of only site–specific...
master thesis 2023
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Valencia Ibañez, Santiago (author)
System architecting is one of the first stages of the engineering problem-solving process. Pivotal decisions regarding the system's overall configuration are taken in this phase. Consequently, decision support tools like system architecture optimization are needed to effectively assess the architectural design space. However, system architecture...
master thesis 2023
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Zhang, Lanxin (author), Dong, Y. (author), Farah, H. (author), Zgonnikov, A. (author), van Arem, B. (author)
Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the accumulation of naturalistic driving data, many ML models have been adopted for abnormal driving behavior detection. Most existing ML-based detectors rely on (fully)...
poster 2023
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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Ruan, Tiancheng (author), Wang, Hao (author), Jiang, Rui (author), Li, Xiaopeng (author), Xie, N. (author), Xie, Xinjian (author), Hao, Ruru (author), Dong, Changyin (author)
Urged by a close future perspective of a traffic flow made of a mix of human-driven vehicles and automated vehicles (AVs), research has recently focused on studying the traffic flow characteristics of Adaptive Cruise Controls (ACCs), the most typical AV. However, in most works, the ACC system is studied under a simplifying and unrealistic...
journal article 2023
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Veldkamp, L.S. (author), Olsthoorn, Mitchell (author), Panichella, A. (author)
Web Application Programming Interfaces (APIs) allow systems to be addressed programmatically and form the backbone of the internet. RESTful and RPC APIs are among the most common API architectures used. In the last decades, researchers have proposed various techniques for automated testing of RESTful APIs, however, to the best of the authors'...
conference paper 2023
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Schmidt, Mathias (author), Noel, L.F.P. (author), Doble, Keenan (author), Evans, John A. (author), Maute, Kurt (author)
This paper presents an immersed, isogeometric finite element framework to predict the response of multi-material, multi-physics problems with complex geometries using locally refined discretizations. To circumvent the need to generate conformal meshes, this work uses an extended finite element method (XFEM) to discretize the governing...
journal article 2023
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Bani Mohammad Ali, Amir (author), Valizadeh Sotubadi, Saleh (author), Alimirzaei, Sajad (author), Ahmadi Najafabadi, Mehdi (author), Pahlavan, Lotfollah (author)
Composite structures in transportation industries have gained significant attention due to their unique characteristics, including high energy absorption. Non-destructive testing methods coupled with machine learning techniques offer valuable insights into failure mechanisms by analyzing basic parameters. In this study, damage monitoring...
journal article 2023
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Heufke Kantelaar, Martijn (author), Molin, E.J.E. (author), Cats, O. (author), Donners, Barth (author), van Wee, G.P. (author)
After several decades of decline, night train services have gained momentum in recent years. However, the willingness to use night trains as an alternative to airplane travel has so far received only limited research attention. This paper addresses this knowledge gap by presenting the results of a two-stage stated preferences survey comprising...
journal article 2022
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Savelberg, Lotte (author)
Global climate change has results in a higher frequency of extreme disaster events and is therefore a serious challenge in disaster impact management. Disaster risk is composed of several components, such as vulnerability, susceptibility, exposure and the probability of occurence and intensity of a hazard. Vulnerability has become a topical...
master thesis 2022
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Kamphof, Jorick (author)
Growth in air traffic demand and the increasing importance of reducing emissions cause airports to consider the improvement of their ground surface movement operations in terms of efficiency and environmental impact. Over the past years, engine-off taxiing techniques have been considered to reduce the environmental impact of airport taxiing...
master thesis 2022
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van Dalen, Maurizio (author)
COVID-19 had (and still has) a huge impact on travel behaviour. Most research on the effects of COVID-19 on travel behaviour is based on daily travel behaviour. Long-distance travel is most of the time not included. Therefore, this paper studies the impact of perceived COVID-19 risk on mode-choice for long-distance travel in Europe. This paper...
master thesis 2022
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Smit, Michiel (author)
Coastal and offshore infrastructure must be designed to withstand extreme wave-induced loading conditions. Extreme Value Analysis (EVA) is often employed to infer probabilistic distributions that provide information about extreme design conditions. In traditional practices, EVA is performed under the assumption of stationarity. This means that...
master thesis 2022
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