Searched for: subject%3A%22transformation%22
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van der Velde, Geert (author)
For increasing the safety of quadcopters the development of recovery control algorithms is crucial. A common cause of quadcopter crashes is collisions. To validate recovery control algorithms on collisions, the quadcopter has to reach the post-collision state. <br/>For this, the principle of 'endpoint control' is introduced, bringing the...
master thesis 2023
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Atreya, V. (author)
Dual-phase (DP) steels are an important class of advanced high-strength steels (AHSS) and constitute a major share of steels for the automotive industry. A microstructure consisting of hard martensite embedded in a soft ferritic matrix gives them a good combination of strength and ductility. The martensite formation in the microstructure from...
doctoral thesis 2023
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Gielisse, A.S. (author)
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series of changes, inspired by the observation that convex upsampling as currently implemented performs...
master thesis 2023
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van Vliet, Sjoerd (author)
Different paradigms can be used to evoke brainwaves. These brainwaves can be interpreted as commands that can be used to control different applications. These frameworks that interpret the brainwaves are called brain-computer interfaces. Steady-state visually evoked potentials is one of these paradigms that uses external stimuli flickering at...
master thesis 2023
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Mao, Kangmin (author)
Modeling the relationship between rainfall and runoff is a longstanding challenge in hydrology and is crucial for informed water management decisions. Recently, Deep Learning models, particularly Long short-term memory (LSTM), have shown promising results in simulating this relationship. The Transformer, a newly proposed deep learning...
master thesis 2023
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Cui, Jasmine (author)
“Hybrid Working, Quality Living” seizes the opportunity of the surging hybrid remote working trend to promote work style and lifestyle changes in office districts and beyond. Remote working has been developing but has never been applied on such a global scale before. Since the end of 2019, it has brought our attention back to several long...
master thesis 2023
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Koopmans, Jaap (author)
According to the Rijksinstituut voor Volksgezondheid en Milieu (RIVM), there will be more focus on tackling the unhealthy effects of urbanization in the near future. This together with the presence of a large stock of vacant buildings and other developments within these urban areas and the challenges which are formed by the developments in...
master thesis 2023
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Norouzi, F. (author), Hoppe, T. (author), Kamp, L.M. (author), Manktelow, C. (author), Bauer, P. (author)
With its potentially disruptive nature, the smart grid can be viewed from both a transformational and an innovation systems perspective. Synthesising these, a research approach is adopted in which a Technological Innovation System (TIS) analysis is combined with a transformational perspective to identify a broader range of success and failure...
review 2023
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Sierra Soraluce, A. (author), Li, G. (author), Santofimia, Maria Jesus (author), Molina-Aldareguia, J. M. (author), Smith, A. (author), Muratori, M. (author), Sabirov, I. (author)
Quenching and partitioning (Q&amp;P) treatment has been proven effective in manufacturing advanced high strength steels with high content of retained austenite, showing the improved balance of high strength and sufficient ductility. This method has been very well elaborated for carbon steel processing over the last two decades. Though it can...
journal article 2023
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Liu, Sijie (author), Xin, Jingmin (author), Wu, Jiayi (author), Deng, Yangyang (author), Su, Ruisheng (author), Niessen, W.J. (author), Zheng, Nanning (author), van Walsum, T. (author)
Identification and detection of thin-cap fibroatheroma (TCFA) from intravascular optical coherence tomography (IVOCT) images is critical for treatment of coronary heart diseases. Recently, deep learning methods have shown promising successes in TCFA identification. However, most methods usually do not effectively utilize multi-view...
journal article 2023
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Ding, Z. (author), Brouwer, J.C. (author), Kwakernaak, C. (author), Hermans, M.J.M. (author), Popovich, V. (author), Quadakkers, Willem J. (author), Sloof, W.G. (author)
Mo(Al<sub>x</sub>Si<sub>1-x</sub>)<sub>2</sub> alloy with x in the range of 0.35–0.65 were prepared by a one-step spark plasma sintering. To study the exclusive formation of an α-Al<sub>2</sub>O<sub>3</sub> scale, oxidation experiments were conducted in low and high oxygen partial pressure ambient at 1373 K; viz.: 10<sup>−14</sup> and 0.21...
journal article 2023
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Zhao, Wenzhao (author), Fan, Yuling (author), Wang, Hongjian (author), Gemmeke, Hartmut (author), van Dongen, K.W.A. (author), Hopp, Torsten (author), Hesser, Jürgen (author)
Objective. The image reconstruction of ultrasound computed tomography is computationally expensive with conventional iterative methods. The fully learned direct deep learning reconstruction is promising to speed up image reconstruction significantly. However, for direct reconstruction from measurement data, due to the lack of real labeled...
journal article 2023
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Miralles-Wilhelm, Fernando (author), Matthews, John H. (author), Karres, Nathan (author), Abell, Robin (author), Dalton, James (author), Kang, Shi Teng (author), Liu, Junguo (author), Maendly, Romain (author), van Wesenbeeck, B (author)
A review of ecological, social, engineering, and integrative approaches to define and apply resilience thinking is presented and comparatively discussed in the context of watershed management. Knowledge gaps are identified through an assessment of this literature and compilation of a set of research questions through stakeholder engagement...
review 2023
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Vogel, G.C. (author), Schulze Balhorn, L. (author), Schweidtmann, A.M. (author)
We propose a novel method enabling autocompletion of chemical flowsheets. This idea is inspired by the autocompletion of text. We represent flowsheets as strings using the text-based SFILES 2.0 notation and learn the grammatical structure of the SFILES 2.0 language and common patterns in flowsheets using a transformer-based language model. We...
journal article 2023
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Pastor Serrano, O. (author), Dong, Peng (author), Huang, Charles (author), Xing, Lei (author), Perko, Z. (author)
Background: Fast dose calculation is critical for online and real-time adaptive therapy workflows. While modern physics-based dose algorithms must compromise accuracy to achieve low computation times, deep learning models can potentially perform dose prediction tasks with both high fidelity and speed. Purpose: We present a deep learning...
journal article 2023
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Mishra, V. (author), Babu, A. (author), Schreurs, R. (author), Wu, K. (author), Hermans, M.J.M. (author), Ayas, C. (author)
Wire and Arc Additive Manufacturing (WAAM) emerged as a manufacturing process for large scale structures with extensive form and design freedom. WAAM can be fully exploited once the relation between the transient thermal history and its relation to microstructure development and resultant mechanical properties is established. This relation...
journal article 2023
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Peh, Wei Yan (author), Thangavel, Prasanth (author), Yao, Yuanyuan (author), Thomas, John (author), Tan, Yee Leng (author), Dauwels, J.H.G. (author)
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last hours or days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essential. However, developing a patient-independent...
journal article 2023
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de Alvear Cardenas, Jose Ignacio (author)
Despite the camera being ubiquitous to unmanned aerial vehicles (UAVs), it has not been used for fault detection and diagnosis (FDD) due to the nonexistence of UAV multi-sensor datasets that include actuator failure scenarios. This thesis proposes a knowledge-based FDD framework based on a lightweight Long-Short Term Memory network that fuses...
master thesis 2022
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Bliek, Esther (author)
The societal need for sustainability transformation is crucial in light of climate change, and the role of individual action and behavioural changes is considered critical in meeting the Paris agreement. Radical shifts in social norms are required, which could be achieved through reaching social tipping points. These tipping points could be...
master thesis 2022
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Vuyk, Marit (author)
This research aims to understand the local governance capacity of Amsterdam Oud-Noord and discover how this area, together with its stakeholders, can improve its climate resilience through transformative climate adaptation governance. This was done by first understanding the research area, its challenges and needed climate adaptation, and by...
master thesis 2022
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