Searched for: subject%3A%22digitizing%22
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Usa, Lyana (author)
Olfactory learning in <i>Drosophila </i>larvae exemplifies efficient neural processing in a small-scale network with minimal power consumption. This system enables larvae to anticipate important outcomes based on new and familiar odor stimuli, a process crucial for survival and adaptation. Central to this learning mechanism is the olfactory...
master thesis 2024
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Verton, Pim (author)
As advances in silicone CMOS technology steadily plateau, new avenues of electronics design must be explored. Graphene Nanoribbons (GNRs) are a potential solution. Current GNR designs require wasteful exhaustive searches for the required device topologies, limiting the size of the solution space that can be searched. This is fine for simple...
master thesis 2024
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Qiu, Y. (author)
Innovation is critical in driving economic growth. It fosters new products and services to move the economy forward. On the other hand, innovation requires new technologies to thrive. One such technology that has revolutionised various industries is big data. By harnessing big data, businesses can unlock valuable insights to enhance decision...
doctoral thesis 2024
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van der Laan, Femke (author)
This research explores the possibilities of combining additive manufacturing and weaving of textiles to create a novel textile-form. In recent years, additive manufacturing has revolutionized manufacturing processes by enabling the creation of complex three dimensional geometries with precision. Conversely, weaving, a traditional method of...
master thesis 2024
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van Kampen, Demi (author)
Digitalisation is becoming increasingly important in discharging the healthcare sector as our society ages, and long-term treatments of chronically ill patients are becoming necessary. However, adopting digital tools has not been smooth due to individual, organisational, and technical barriers. To overcome these barriers, a user-centred approach...
master thesis 2024
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Niers, Jesse (author)
This research investigates the application of a digital twin in managing challenges of variability and complexity within systems by using a case study at KLM Engineering &amp; Maintenance. Using the DMADV (define, measure, analyse, design and verify) methodology, the research evaluates the problem using a literature review, measures and analyses...
master thesis 2024
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Kroon, Lisa (author)
Problem definition<br/><br/>The healthcare sector faces escalating pressure due to its current inefficient practices in digital information exchange. The Integral Care Agreement (IZA) from the Ministry of Health, Welfare, and Sport (VWS) and overarching healthcare organizations is focused on creating a future-proof healthcare system. The Wegiz,...
master thesis 2024
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Kan, Leo (author)
The Earth's surface is a complex landscape that is essential for a wide range of applications, from urban planning to environmental monitoring. Digital models of the Earth's surface are generated through mathematical calculations using elevation data collected from various sources and the Digital Terrain Model (DTM) which captures the bare earth...
master thesis 2024
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Wang, T. (author), Giunti, Guido (author), Goossens, R.H.M. (author), Melles, M. (author)
BACKGROUND: The increasing prevalence of DH applications has outpaced research and practice in digital health (DH) evaluations. Patient experience (PEx) was reported as one of the challenges facing the health system by the World Health Organization. To generate evidence on DH and promote the appropriate integration and use of technologies, a...
review 2024
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Corbo, S. (author)
“The Letter Rack” is a speculative exercise in exploring the emergence of new spatial relationships when we stop thinking of future cities in terms of figure/ground duality and instead start looking at them as a continuous assemblage of forms and signs.<br/><br/>This form of digital divertissement in drawings originates from the reinterpretation...
journal article 2024
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Forouzandeh Shahraki, N. (author), Brembilla, E. (author), Nan, L. (author), Stoter, J.E. (author), Jakubiec, Alstan (author)
Optimizing the built environment via simulations of building models hinges on standardizing data acquisition. In this research, we put forward distinct levels of detail for geometry and material inputs, specifically tailored for indoor daylight applications. We primarily focus on understanding the uncertainties arising from imprecise...
journal article 2024
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Medaglia, Rony (author), Rukanova, B.D. (author), Zhang, Ziyan (author)
The transition from a linear economy towards a circular economy (CE), based on reusing, repairing, refurbishing, and recycling existing materials and products, is one of the key priorities in pursuing Sustainable Development Goals (SDGs), where governments play a fundamental role, with the support of digital technologies.<br/><br/>Despite the...
journal article 2024
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Kromes, R.G. (author), Li, T. (author), Bouillion, Maxime (author), Güler, Talha Enes (author), van der Hulst, Victor (author), Erkin, Z. (author)
Blockchain’s potential to revolutionize supply chain and logistics with transparency and equitable stakeholder engagement is significant. However, challenges like scalability, privacy, and interoperability persist. This study explores the scarcity of real-world blockchain implementations in supply chain and logistics since we have not witnessed...
journal article 2024
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Kaya, H.D. (author), Dikmen, Irem (author)
Although digitalization has become a prospect that is counted on for many problems in the construction industry, there have been limited attempts at exploring decision-making processes in construction firms concerning the integration of digital technologies and impacts beyond the projects. In this research, the system dynamics (SD) approach...
journal article 2024
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Laguarda, L. (author), Hickel, S. (author)
We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique and assess their efficacy in the context of wall-resolved large-eddy simulations of a compressible turbulent boundary layer. Improvements of accuracy include a more realistic correlation function for the...
journal article 2024
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Kong, I. (author), Janssen, M.F.W.H.A. (author), Bharosa, Nitesh (author)
By utilizing the properties of quantum mechanics, quantum computers have the potential to factor a key pair of a large prime number and break some of the core cryptographic primitives that most information infrastructures depend on. This means that today's widely used cryptographic algorithms can soon become unsafe and need to be modified...
journal article 2024
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Narin, O.G. (author), Abdikan, Saygin (author), Gullu, Mevlut (author), Lindenbergh, R.C. (author), Balik Sanli, Fusun (author), Yilmaz, Ibrahim (author)
Open source Global Digital Elevation Models (GDEMs) serve as an important base for studies in geosciences. However, these models contain vertical errors due to various reasons. In this study, data from two Satellite LiDAR altimetry systems, GEDI and ICESat-2, were used to improve the vertical accuracy of GDEMs. Three different machine learning...
journal article 2024
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Sadowski, Adam Jan (author), Wong, W.J. (author), Li, Sai Chung Simon (author), Málaga-Chuquitaype, Christian (author)
This article describes a dataset used to calibrate a finite element model of a thick circular hollow section (CHS) with varying d/t (diameter to thickness) ratio under cyclic loading which may be used as a computational model validation benchmark by researchers working on similar problems in structural and mechanical engineering. The test...
journal article 2024
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Guerra, Victor (author), Hamon, Benoit (author), Bataillou, Benoit (author), Inamdar, A.S. (author), van Driel, W.D. (author)
This paper introduces an ontology-based Digital Twin (DT) architecture for the lighting industry, integrating simulation models, data analytics, and visualization to represent luminaires. The ontology standardizes luminaire components, facilitating interoperability with design tools. The calculated ontology-level metrics suggest mid-level...
journal article 2024
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Bajaj, V. (author), Van de Plas, Raf (author), Wahls, S. (author)
While probabilistic constellation shaping (PCS) enables rate and reach adaption with finer granularity [1] (Cho and Winzer, 2009), it imposes signal processing challenges at the receiver. Since the distribution of PCS-quadrature amplitude modulation (QAM) signals tends to be Gaussian, conventional blind polarization demultiplexing algorithms...
journal article 2024
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