Searched for: +
(61 - 80 of 25,083)

Pages

document
Lin, P. (author), Liu, X. (author), Ren, S. (author), Li, Yi (author), Erkens, S. (author), Welvaarts, B. (author), Brouns, K. (author)
Developed by Delft University of Technology, the tri-component polyurethane modified cold binder (PMCB) displays impressive durability and strength in asphalt mixtures, showing promise as a reliable binder for cold in-place recycling. However, when applying PMCB for rapid, in-situ recycling, the presence of moisture in reclaimed asphalt...
conference paper 2024
document
Shubham, Shubham (author), Avallone, F. (author), Brandetti, L. (author), Wright, Nigel (author), Ianakiev, Anton (author)
This study investigates the impact of struts and a central tower on the aerodynamics and aeroacoustics of Darrieus Vertical Axis Wind Turbines (VAWTs) at chord-based Reynolds numbers of 8.12e4. A 2-bladed H-Darrieus VAWT is used, featuring a 1.5m diameter, a solidity of 0.1 and a blade cross-section of symmetrical NACA 0021. The turbine design...
conference paper 2024
document
Yong, Wen Pin (author), Menke, Hannah (author), Maes, Julien (author), Geiger, S. (author), Bakar, Zainol Affendi Abu (author), Lewis, Helen (author), Buckman, Jim (author), Bonnin, Anne (author), Singh, Kamaljit (author)
Microporosity is commonly assumed to be non-connected porosity and not commonly studied in geoengineering industry. However, the presence of micropores plays a key role in connecting macropores and it can contribute significantly to the overall flow performance. In this study, targeted CO<sub>2</sub> storage carbonate fields in Southeast Asia...
conference paper 2024
document
Ville, Alicia (author), Hunfeld, Nicole (author), Bakker, C.A. (author), Sené, Baptiste (author), Diehl, J.C. (author)
This project aims to reduce the environmental impact of the Intensive Care Unit (ICU) of the Erasmus Medical Center (EMC). Systemic design research was executed to map the current waste flow created by the ICU. Literature review, interviews and observations were performed to gather information about the healthcare protocols, hospital procurement...
conference paper 2024
document
Haase, Matthias (author), Konstantinou, T. (author)
Roughly 97% of the European Union (EU) building stock is not considered energy efficient, and 75–85% of it will still be in use in 2050 (Artola et al., Boosting building renovation: What potential and value for Europe? 2016). Residential buildings account for around two thirds of final energy consumption in European buildings. The rate at...
conference paper 2024
document
Anghel, R.I. (author), Vetrivel, Swaathi (author), Turcios Rodriguez, E.R. (author), Sameshima, Kaichi (author), Makita, Daisuke (author), Yoshioka, Katsunari (author), Hernandez Ganan, C. (author), Zhauniarovich, Y. (author)
Remotely Triggered Black Hole (RTBH) is a common DDoS mitigation approach that has been in use for the last two decades. Usually, it is implemented close to the attack victim in networks sharing some type of physical connectivity. The Unwanted Traffic Removal Service (UTRS) project offers a free, global, and relatively low-effort-to-join and...
conference paper 2024
document
Procaccini, Marco (author), Sahebi, Amin (author), Barbone, Marco (author), Luk, Wayne (author), Gaydadjiev, G. (author), Giorgi, Roberto (author)
Processing graphs on a large scale presents a range of difficulties, including irregular memory access patterns, device memory limitations, and the need for effective partitioning in distributed systems, all of which can lead to performance problems on traditional architectures such as CPUs and GPUs. To address these challenges, recent...
conference paper 2024
document
Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...
conference paper 2024
document
Johri, Riddhi (author), Pandey, Pankaj (author), Miyapuram, Krishna Prasad (author), Lomas, J.D. (author)
The brain is an incredibly complex organ capable of perceiving and interpreting a wide range of stimuli. Depending on individual brain chemistry and wiring, different people decipher the same stimuli differently, conditioned by their life experiences and environment. This study’s objective is to decode how the CNN models capture and learn...
conference paper 2024
document
Zhu, P. (author), Wang, Zhen (author), Okumura, Manabu (author), Yang, J. (author)
Textbook question answering is challenging as it aims to automatically answer various questions on textbook lessons with long text and complex diagrams, requiring reasoning across modalities. In this work, we propose MRHF, a novel framework that incorporates dense passage re-ranking and the mixture-of-experts architecture for TQA. MRHF...
conference paper 2024
document
Lu, Zehao (author), Wang, Shihan (author), Ren, Xiao Long (author), Costas, Rodrigo (author), Metze, T.A.P. (author)
Numerous research efforts have centered on identifying the most influential players in networked social systems. This problem is immensely crucial in the research of complex networks. Most existing techniques either model social dynamics on static networks only and ignore the underlying time-serial nature or model the social interactions as...
conference paper 2024
document
Zhao, Y. (author), Zhang, Y. (author), Tao, Q. (author)
Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutional networks to learn the image prior as the regularization term. In quantitative MRI, the physical model of nuclear magnetic resonance...
conference paper 2024
document
Sebahi, Yassine (author), Jabeen, F. (author), Treur, Jan (author), Taal, H. Rob (author), Roelofsma, Peter H.M.P. (author)
This paper presents an approach to enhancing neonatal care through the application of artificial intelligence (AI). Utilizing network-oriented modeling methodologies, the study aims to develop a network model to improve outcomes in neonatal respiratory support. The introduction sets the stage by outlining the significance of neonatal...
conference paper 2024
document
Ersoy, O. (author), Moreno-Sanchez, Pedro (author), Roos, S. (author)
The Lightning Network provides almost-instant payments to its parties. In addition to direct payments requiring a shared payment channel, parties can pay each other in the form of multi-hop payments via existing channels. Such multi-hop payments rely on a 2-phase commit protocol to achieve balance security; that is, no honest intermediary...
conference paper 2024
document
Diaz, Vitali (author), van Oosterom, P.J.M. (author), Meijers, B.M. (author), Verbree, E. (author), Ahmed, N. (author), Van Lankveld, T. (author)
Cloud-to-cloud (C2C) distance calculations are frequently performed as an initial stage in change detection and spatiotemporal analysis with point clouds. There are various methods for calculating C2C distance, also called inter-point distance, which refers to the distance between two corresponding point clouds captured at different epochs....
conference paper 2024
document
Shen, Y.S. (author), Ersoy, O. (author), Roos, S. (author)
Payment channel networks (PCNs) are a promising solution to the blockchain scalability problem. In PCNs, a sender can route a multi-hop payment to a receiver via intermediaries. Yet, Lightning, the only prominent payment channel network, has two major issues when it comes to multi-hop payments. First, the sender decides on the path without...
conference paper 2024
document
Agugiaro, G. (author), Pantelios, Konstantinos (author), León Sánchez, C.A. (author), Yao, Zhihang (author), Nagel, Claus (author)
This paper introduces a new plug-in for QGIS that allows to connect to the free and open-source 3D City Database to load CityGML data, structured as classic GIS layers, into QGIS. The user is therefore not required to be a CityGML specialist, or a SQL expert, as the plug-in takes care of hiding from the user most of the complexity in terms of...
conference paper 2024
document
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
document
Zhou, Yimin (author), Gillavry, Merlijn Mac (author), Yang, Pengzhi (author), Xu, Zihao (author), Zhang, Baitian (author), Bidarra, Rafael (author)
As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive sciences, especially when the visual output diverges from real-world actions. Previous research in BO uses questionnaires and brain...
conference paper 2024
document
Martinelli, Cristiano (author), Coraddu, A. (author), Cammarano, Andrea (author)
Meta-heuristic optimisation algorithms are high-level procedures designed to discover near-optimal solutions to optimisation problems. These strategies can efficiently explore the design space of the problems; therefore, they perform well even when incomplete and scarce information is available. Such characteristics make them the ideal...
conference paper 2024
Searched for: +
(61 - 80 of 25,083)

Pages