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Zhu, C. (author), Guo, L (author), Tian, B. (author), He, Q (author), Wang, Zhengbing (author)
Estuarine morphodynamics undergo significant changes due to declined sediment supply from river, rising sea-level, and human interferences (Syvitski and Saito, 2007; Syvitski et al., 2009). The Yangtze Estuary is such a case whose decadal morphodynamic evolution was broadly examined. It was documented that the subaqueous delta shifted from...
abstract 2017
document
Wang, T. (author), Qian, S. (author), Zhu, Haiou (author), Goossens, R.H.M. (author), Giunti, Guido (author), Melles, M. (author)
Design is expanding its influence on shaping future healthcare. Ideally, designers apply human-centered design and human factors that introduce theory, principles, and methods to design to optimize people’s healthcare experiences in both digital and non-digital environments. To discuss and implement experience design in healthcare, consensus...
book chapter 2024
document
Zhu, P. (author), Wang, Z. (author), Yang, J. (author), Hauff, C. (author), Anand, A. (author)
Quality control is essential for creating extractive question answering (EQA) datasets via crowdsourcing. Aggregation across answers, i.e. word spans within passages annotated, by different crowd workers is one major focus for ensuring its quality. However, crowd workers cannot reach a consensus on a considerable portion of questions. We...
conference paper 2022
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Wang, X. (author), Qiao, T. (author), Zhu, Jihua (author), Hanjalic, A. (author), Scharenborg, O.E. (author)
An estimated half of the world’s languages do not have a written form, making it impossible for these languages to benefit from any existing text-based technologies. In this paper, a speech-to-image generation (S2IG) framework is proposed which translates speech descriptions to photo-realistic images without using any text information, thus...
conference paper 2020
document
Xie, Jiahong (author), Cheng, Haibo (author), Zhu, Rong (author), Wang, Ping (author), Liang, K. (author)
To date there are few researches on the semantic information of passwords, which leaves a gap preventing us from fully understanding the passwords characteristic and security. We propose a new password probability model for semantic information based on Markov Chain with both generalization and accuracy, called WordMarkov, that can capture the...
conference paper 2022
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Yu, Fuyang (author), Wang, Zhen (author), Li, Dongyuan (author), Zhu, P. (author), Liang, Xiaohui (author), Wang, Xiaochuan (author), Okumura, Manabu (author)
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on the interaction between textual information and 2D images, lacking research on 3D data, especially point clouds at scene level,...
conference paper 2024
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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
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Zhu, Y. (author), Wang, H. (author), Goverde, R.M.P. (author)
Real-time railway traffic management is important for the daily operations of railway systems. It predicts and resolves operational conflicts caused by events like excessive passenger boardings/alightings. Traditional optimization methods for this problem are restricted by the size of the problem instances. Therefore, this paper proposes a...
conference paper 2020
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Brownjohn, James (author), Raby, Alison (author), Au, Siu Kui (author), Zhu, Zuo (author), Wang, Xinrui (author), Antonini, A. (author)
A set of seven rock lighthouses around the British Isles was studied by a combination of forced and ambient vibration tests executed with some extreme logistical constraints. Forced vibration testing of the circular section masonry towers combined with experimental modal analysis identified modes with alignment assumed the same as the shaker...
conference paper 2019
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Wang, X. (author), Feng, S. (author), Zhu, Jihua (author), Hasegawa-Johnson, Mark (author), Scharenborg, O.E. (author)
This paper proposes a new model, referred to as the show and speak (SAS) model that, for the first time, is able to directly synthesize spoken descriptions of images, bypassing the need for any text or phonemes. The basic structure of SAS is an encoder-decoder architecture that takes an image as input and predicts the spectrogram of speech that...
conference paper 2021
document
Zhu, R. (author), Yang, M. (author), Yang, J. (author), Wang, Q. (author)
Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future Intelligent Internet of Things (IoT). However, model training in FL is vulnerable to noise and the statistical heterogeneity of local data across IoT clients. In this paper, we propose FedNaWi, a “Go Narrow, Then...
conference paper 2023
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Wang, X. (author), Tian, Tian (author), Zhu, Jihua (author), Scharenborg, O.E. (author)
In the case of unwritten languages, acoustic models cannot be trained in the standard way, i.e., using speech and textual transcriptions. Recently, several methods have been proposed to learn speech representations using images, i.e., using visual grounding. Existing studies have focused on scene images. Here, we investigate whether fine...
conference paper 2021
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Zhu, G. (author), Xiao, Y. (author), Yang, Y. (author), Wang, J. (author), Sun, B. (author), Boom, R. (author)
Recycling of aluminum alloy scrap obtained from delaminated fibre metal laminates (FMLs) was studied through high temperature refining in the presence of a salt flux. The aluminum alloy scrap contains approximately mass fraction w(Cu) = 4.4%, w(Mg) = 1.1% and w(Mn) = 0.6% (2024 aluminum alloy). The main objective of this research is to obtain a...
journal article 2012
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Zhu, Y. (author), Visser, P.J. (author), Vrijling, J.K. (author), Wang, G.Q. (author)
Breaching of embankments has recently drawn more and more attention due to its importance in the development of early warning systems for embankment failures, in the evacuation plans of people at risk, in the design method of embankments based on a risk-approach, etc. The erosion process observed during embankment breaching tests in the...
journal article 2011
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Xiong, W. (author), Tang, J. (author), Zhu, G. (author), Han, N. (author), Schlangen, E. (author), Dong, B. (author), Wang, X. (author), Xing, F. (author)
Steel is prone to corrosion induced by chloride ions, which is a serious threat to reinforced concrete structures, especially in marine environments. In this work, we report a novel capsule-based selfrecovery system that utilizes chloride ions as a trigger. These capsules, which are functionalized via a smart response to chloride ions, are...
journal article 2015
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Zhu, G. (author), Xiao, Y. (author), Yang, Y. (author), Wang, J. (author), Sun, B. (author), Boom, R. (author)
GLARE (glass fibre/epoxy reinforced aluminum laminate) is a member of the fiber metal laminate (FML) family, and is built up of alternating metal and fiber layers. About 500m2 GLARE is employed in each Airbus A380 because of the superior mechanical properties over the monolithic aluminum alloys, such as weight reduction, improved damage...
journal article 2012
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Wang, Yihui (author), Zhu, Songwei (author), Li, Shukai (author), Yang, Lixing (author), De Schutter, B.H.K. (author)
In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train...
journal article 2022
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Bešinović, Nikola (author), Wang, Yihui (author), Zhu, Songwei (author), Quaglietta, E. (author), Tang, Tao (author), Goverde, R.M.P. (author)
In big cities, the metro lines usually face great pressure caused by huge passengers demand, especially during peak hours. When disruptions occur, passengers accumulate quickly at stations. It is of great importance for dispatchers to take passenger flow control into consideration for the traffic management to ensure passengers' safety and to...
journal article 2021
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Zhu, Yonghan (author), Janssen, M.F.W.H.A. (author), Wang, Rui (author), Liu, Yang (author)
The global spread of COVID-19 has caused a huge number of confirmed cases and deaths, which in return leads to a plethora of mental disorders across the world. In order to address citizens’ psychological problems, government agencies in many countries have employed AI-based chatbots to provide mental health services. However, there is a...
journal article 2021
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Wang, Jue (author), Yuan, Weiyi (author), Li, Z. (author), Zhu, Yingcan (author), Santos, Thebano (author), Fan, J. (author)
This paper presents a convenient and efficient method to predict the mechanical solutions of a laminated Liquid Crystal Elastomers (LCEs) system subjected to combined thermo-mechanical load, based on a back propagation (BP) neural network which is trained by machine learning from a database established by analytical solutions. Firstly, the...
journal article 2022
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