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Schelbergen, M. (author)
The potential of utility-scale airborne wind energy (AWE) systems to contribute significantly to the energy transition hinges on their large-scale deployment, which depends on the cost-competitiveness and complementarity with conventional wind turbines. Central to the assessment of these metrics is understanding long-term energy production,...
doctoral thesis 2024
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Rinauro, B. (author), Begovic, E. (author), Mauro, F. (author), Rosano, G. (author)
The seaway trade market has expanded in the last years and container ship dimensions are constantly increasing for higher cargo capacity. In the early design stage, main dimensions are usually determined based on an existing ship database from which regression formulas are derived. In the present paper, a database of 260 non-sister container...
journal article 2024
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van der Jagt, T.F.W. (author), Jongbloed, G. (author), Vittorietti, M. (author)
Consider an opaque medium that contains 3D particles. All particles are convex bodies of the same shape, but they vary in size. The particles are randomly positioned and oriented within the medium and cannot be observed directly. Taking a planar section of the medium we obtain a sample of observed 2D section profile areas of the intersected...
journal article 2024
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van Strien-Knippenberg, Inge S. (author), Arjangi-Babetti, Hannah (author), Timmermans, Danielle R.M. (author), Schrauwen, Laura (author), Fransen, M.P. (author), Melles, M. (author), Damman, Olga C. (author)
Background: Risk-based breast cancer (BC) screening raises new questions regarding information provision and risk communication. This study aimed to: 1) investigate women’s beliefs and knowledge (i.e., mental models) regarding BC risk and (risk-based) BC screening in view of implications for information development; 2) develop novel...
journal article 2024
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Homborg, A.M. (author), Mol, J.M.C. (author), Tinga, Tiedo (author)
This paper for the first time treats the interpretation of electrochemical noise time-frequency spectra as an image classification problem. It investigates the application of a convolutional neural network (CNN) for deep learning image classification of electrochemical noise time-frequency transient information. Representative slices of these...
journal article 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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Buist, J.F.H. (author), Sanderse, B. (author), Dubinkina, S. (author), Oosterlee, C. W. (author), Henkes, R.A.W.M. (author)
In this paper we present a complete framework for the energy-stable simulation of stratified incompressible flow in channels, using the one-dimensional two-fluid model. Building on earlier energy-conserving work on the basic two-fluid model, our new framework includes diffusion, friction, and surface tension. We show that surface tension can...
journal article 2024
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Jonkman, Sebastiaan N. (author), Curran, A.N. (author), Bouwer, L. M. (author)
Floods are amongst the most frequent disasters in terms of human and economic impacts. This study provides new insights into the frequency of loss of life at the global scale, mortality fractions of the population exposed to floods, and underlying trends. A dataset is compiled based on the EM-DAT disaster database covering the period 1975...
journal article 2024
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Rejali, Sina (author), Watson-Brown, Natalie (author), Kaye, Sherrie Anne (author), Senserrick, Teresa (author), Oviedo-Trespalacios, O. (author)
Empirical data demonstrates that distracted driving is a leading cause of crashes even in countries with sophisticated road safety systems. As such, a paradigm shift is needed to prevent driver distraction. This study aims to contribute to this paradigm shift by critically investigating the official distraction-related information and road...
journal article 2024
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Oomen, T.A.E. (author), Rojas, Cristian R. (author)
A direct data-driven iterative algorithm is developed to accurately estimate the H<sub>∞</sub> norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real...
journal article 2024
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Bakhshaee Babaroud, N. (author), Rice, S.J. (author), Camarena, M. (author), Serdijn, W.A. (author), Vollebregt, S. (author), Giagka, Vasiliki (author)
In this paper, we present the surface modification of multilayer graphene electrodes with platinum (Pt) nanoparticles (NPs) using spark ablation. This method yields an individually selective local printing of NPs on an electrode surface at room temperature in a dry process. NP printing is performed as a post-process step to enhance the...
journal article 2024
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Driessen, T. (author), Stefan, David (author), Heikoop, Daniël (author), Dodou, D. (author), de Winter, J.C.F. (author)
There is a need to improve the validity of the driving test as a measure of an individual’s ability to drive safely. This paper explores the use of algorithms to analyze acceleration and GPS data from a smartphone and a GoPro to distinguish between different driving styles, as performed by experienced examiners portraying stereotypical...
journal article 2024
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Zheng, Chaolei (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author), Lu, Jing (author), Chen, Qiting (author), Jiang, Min (author), Mancini, Marco (author), Corbari, Chiara (author)
Improving irrigation water management is a key concern for the agricultural sector, and it requires extensive and comprehensive tools that provide a complete knowledge of crop water use and requirements. This study presents a novel methodology to explicitly estimate daily gross and net crop water requirements, actual crop water use, and...
journal article 2024
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Hurtado-Gallego, Juan (author), van der Poel, S. (author), Blaschke, Matthias (author), Gallego, Almudena (author), Hsu, C. (author), López-Nebreda, Rubén (author), Mayor, Marcel (author), Pauly, Fabian (author), Agraït, Nicolás (author), van der Zant, H.S.J. (author)
Break-junction techniques provide the possibility to study electric and thermoelectric properties of single-molecule junctions in great detail. These techniques rely on the same principle of controllably breaking metallic contacts in order to create single-molecule junctions, whilst keeping track of the junction's conductance. Here, we compare...
journal article 2024
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Balayn, A.M.A. (author)
Machine learning (ML) is an artificial intelligence technology that has a great potential for being adopted in various sectors of activities. Yet, it is now also increasingly recognized as a hazardous technology. Failures in the outputs of an ML system might cause physical or social harms. Besides, the development and deployment of an ML system...
doctoral thesis 2023
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Diab, I. (author)
Electricity grids are increasingly congested as the world moves toward a sustainable, electrified future. Expanding and upgrading these infrastructures is costly and challenging on a technical and administrative level and even redundant when considering that some sub-parts of these grids, such as electric transportation networks, are massively...
doctoral thesis 2023
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Sabzehee, F. (author), Amiri Simkooei, A. (author), Iran Pour, S. (author), Vishwakarma, B.D. (author), Kerachian, R. (author)
The Urmia lake in north-west Iran has dried up to perilously low levels in the past two decades. In this study, we investigate the drivers behind the decline in lake water level with the help of in-situ and remote sensing data. We use total water storage (TWS) changes from the gravity recovery and climate experiment (GRACE) satellite mission....
journal article 2023
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Mohamed, Ahmed (author), Abdelrady, Ahmed (author), Alarifi, Saad S. (author), Othman, Abdullah (author)
Because of climate change and human activity, North and Central Africa are experiencing a significant water shortage. Recent advancements in earth observation technologies have made widespread groundwater monitoring possible. To examine spatial and temporal mass fluctuations caused by groundwater variations in Chad, gravity solutions from the...
journal article 2023
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Sileryte, R. (author), Wandl, Alex (author), van Timmeren, A. (author)
With circular economy being high on governmental agendas, there is an increasing request from governing bodies for circularity measurements. Yet, currently existing macro-level monitoring frameworks are widely criticized for not being able to inform the decision-making. The criticism includes, among others, a lack of consensus on...
journal article 2023
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Howard, Thomas (author), Driller, K.K. (author), Frier, William (author), Pacchierotti, Claudio (author), Marchal, Maud (author), Hartcher-O'Brien, J. (author)
Ultrasound mid-air haptic (UMH) devices are a novel tool for haptic feedback, capable of providing localized vibrotactile stimuli to users at a distance. UMH applications largely rely on generating tactile shape outlines on the users' skin. Here we investigate how to achieve sensations of continuity or gaps within such two-dimensional curves...
journal article 2023
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