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McWilliam, Michael (author), Gaunaa, Mac (author), Kelly, Mark (author)
conference paper 2024
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Zhao, Z. (author), Huang, J. (author), Chen, Lydia Y. (author), Roos, S. (author)
Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images using competing generator and discriminator neural networks. Due to data not being centrally available, Multi-Discriminator (MD)-GANs training frameworks employ multiple discriminators that have direct access to the real data....
conference paper 2024
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Andreadis, Georgios (author), Mulder, Joas I. (author), Bouter, P.A. (author), Bosman, P.A.N. (author), Alderliesten, T. (author)
The transformation model is an essential component of any deformable image registration approach. It provides a representation of physical deformations between images, thereby defining the range and realism of registrations that can be found. Two types of transformation models have emerged as popular choices: B-spline models and mesh models....
conference paper 2024
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Alimohammadi, H. (author), Vassiljeva, K. (author), Hassan HosseinNia, S. (author), Ellervee, P. (author), Petlenkov, E. (author)
This paper examines the stability implications of integrating piezoelectric actuators into metamaterial beams, focusing on the compensation of structural damping and its effect on the system's dynamic performance. Metamaterials, characterized by their unique bandgap properties, offer potential in various engineering applications, including...
conference paper 2024
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Streibelt, Florian (author), Sattler, Patrick (author), Lichtblau, Franziska (author), Hernandez Ganan, C. (author), Feldmann, Anja (author), Gasser, Oliver (author), Fiebig, Tobias (author)
DNS is one of the core building blocks of the Internet. In this paper, we investigate DNS resolution in a strict IPv6-only scenario and find that a substantial fraction of zones cannot be resolved. We point out, that the presence of an AAAA resource record for a zone’s nameserver does not necessarily imply that it is resolvable in an IPv6-only...
conference paper 2023
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Dostanic, M. (author), Windt, Laura (author), Wiendels, Maury (author), van Meer, Berend J. (author), Mummery, Christine L. (author), Sarro, Pasqualina M (author), Mastrangeli, Massimo (author)
We present a novel design of elastic micropillars for tissue self-assembly in engineered heart tissue (EHT) platforms. The innovative tapered profile confines reproducibly the tissue position along the main micropillar axis, increasing the accuracy of tissue contraction force measurement. Polydimethylsiloxane-based pillars were designed and...
conference paper 2023
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Meester, R.S. (author), van Dijk, Tom (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Obstacle avoidance is an important capability for flying robots. But for robots with limited resources, such as small drones this becomes particularly challenging. Bug algorithms have been proposed to solve path planning with only minimal resources. And stereo vision provides a rich description of the world for limited weight but typically has a...
conference paper 2023
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Mestdagh, S.M.F. (author), Bai, Q. (author), Snellen, M. (author)
Detailed knowledge of both the sedimentological and ecological characteristics of the seafloor is essential when undertaking bottom-disturbing activities, but can be a challenge to obtain. Through backscatter data at different frequencies, collected with a multi-spectral multi-beam sonar, information on the structure of both the sediment...
conference paper 2023
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)
Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...
conference paper 2023
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Casao, S. (author), Otero, Andrés (author), Serra Gomez, A. (author), Murillo, Ana C. (author), Alonso-Mora, J. (author), Montijano, Eduardo (author)
Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and physics simulators are gaining popularity as a means of generating accurate data labeling and designing scenarios for evaluating generalization capabilities, e.g.,...
conference paper 2023
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Barcellos, Raissa (author), Bernardini, Flavia (author), Viterbo, Jose (author), Zuiderwijk-van Eijk, A.M.G. (author)
Open government data initiatives have been rising quickly in recent times. They are encouraged by a wish to democratize data access and knowledge production and enhance cities socially and economically. The hardship of interpreting data can be considered an obstacle to using open government data and more prominent citizen engagement. Technology...
conference paper 2023
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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
As artificial agents become increasingly embedded in our society, we must ensure that their behavior aligns with human values. Value alignment entails value inference, the process of identifying values and reasoning about how humans prioritize values. We introduce a holistic framework that connects the technical (AI) components necessary for...
conference paper 2023
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Nagavarapu, Sarat Chandra (author), Abraham, Anuj (author), Selvaraj, Nithish Muthuchamy (author), Dauwels, J.H.G. (author)
Autonomous vehicles (AV) are one of the greatest technological advancements of this decade and a giant leap in the transportation industry and mobile robotics. Autonomous vehicles face several major challenges in achieving higher levels of autonomy. One of these is to find a fast and reliable algorithm to process the sensor data so that the...
conference paper 2023
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Wissingh, Thomas (author), Kuijlenburg, Rachel (author), Joosstens, Frans (author), Poldner, Kim, (author), Mobach, Mark (author)
Background and aim - Many countries signed the Paris Agreement to mitigate global average temperature rise. In this context, Dutch government decided to realize a reduction of 50% using resources and raw materials in 2030. This paper explores how practice-based research into facility operations can contribute to this aim. Methods / Methodology -...
conference paper 2022
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Mehrotra, S. (author), Brocker, Anke (author), Obrist, Marianna (author), Borchers, Jan (author)
Social interactions are multisensory experiences. However, it is not well understood how technology-mediated smell can support social interactions, especially in collaborative tasks. To explore its effect on collaboration, we asked eleven pairs of users to work together on a writing task while wearing an interactive jewellery designed to emit...
conference paper 2022
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Koolwijk, J.S.J. (author), van Oel, C.J. (author)
This study investigates the motives of clients, contractors and<br/>subcontractors and underlying conditions favoring strategic partnering formation in the Dutch retrofit market. In-depth interviews were conducted with six clients, six contractors, and two subcontractors concerning four cases in the Netherlands. To identify motives, the data...
conference paper 2022
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Wang, Xingkai (author), Cao, Zhenfu (author), LIU, Z. (author), Liang, K. (author)
Gordon et al. (TCC 2015) systematically studied the security of Multi-client Verifiable Computation (MVC), in which a set of computationally-weak clients outsource the computation of a general function f over their private inputs to an untrusted server. They introduced the universally composable (UC) security of MVC and proposed a scheme...
conference paper 2022
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Shah, Tirth (author), Patel, Nirmal (author), Lomas, J.D. (author), Sharma, Aditya (author)
Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the...
conference paper 2022
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Bastan, Mohaddeseh (author), Shankar, N. (author), Surdeanu, Mihai (author), Balasubramanian, Niranjan (author)
Can language models read biomedical texts and explain the biomedical mechanisms discussed? In this work we introduce a biomedical mechanism summarization task. Biomedical studies often investigate the mechanisms behind how one entity (e.g., a protein or a chemical) affects another in a biological context. The abstracts of these publications...
conference paper 2022
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Verdiesen, E.P. (author)
conference paper 2022
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