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Kernan Freire, S. (author), Wang, C.W. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Ruiz-Arenas, Santiago (author), Niforatos, E. (author)
Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system...
journal article 2024
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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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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
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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
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Meng, Weihao (author), Kragt, A.J.J. (author), Hu, Xiaowen (author), van der Burgt, Julia S. (author), Schenning, Albertus P.H.J. (author), Yue, Yuchen (author), Zhou, Guofu (author), Li, Yong (author), Wang, Jingxia (author)
Photochromic smart windows have drawn increasing attention as an approach to improve building energy efficiency and enhance indoor daylight comfort. However, existing photochromic smart windows still block sunlight from entering the room on sunny winter days, causing additional energy consumption for heating. Herein, a dual-mode smart window...
journal article 2024
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Zhai, Yujia (author), Bai, Junhong (author), Chang, Pengfei (author), Liu, Zhe (author), Wang, Yaqi (author), Liu, G. (author), Cui, Baoshan (author), Peijnenburg, Willie (author), Vijver, Martina G. (author)
Microplastics (MPs), miniscule plastic particles measuring less than 5 mm in size, have become a concern in terrestrial ecosystems, with primarily agricultural and wetland soils being the soils with highest plastic loadings. The adverse effect of MPs might lead to changes in physicochemical and biological characteristics of soil including...
review 2024
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Yang, X. (author), Chen, Yi (author), Liu, Tao (author), Zhang, Lu (author), Wang, Hui (author), Chen, Mengli (author), He, Qiang (author), Liu, G. (author), Ju, Feng (author)
Constructed wetlands (CWs) have been proven to effectively immobilize plastic particles. However, little is known about the differences in the impact of varying sized plastic particles on nitrous oxide (N<sub>2</sub>O) release, as well as the intervention mechanisms in CWs. Here, we built a lab-scale wetland model and introduced plastic...
journal article 2024
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Cosmi, V. (author), Wang, B. (author), Goorden, M.C. (author), Beekman, F.J. (author)
Background: Gamma camera imaging, including single photon emission computed tomography (SPECT), is crucial for research, diagnostics, and radionuclide therapy. Gamma cameras are predominantly based on arrays of photon multipliers tubes (PMTs) that read out NaI(Tl) scintillation crystals. In this way, standard gamma cameras can localize ɣ-rays...
journal article 2024
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Wu, Guofeng (author), Liu, Qing (author), Xu, H. (author), Wang, Jun (author)
Low-lying coastal areas are threatened worldwide by compound flooding effects, including sea-level rise (SLR), frequent tropical cyclones (TCs), and accelerated land subsidence (LS). Compound flooding results in a negative effect, creating challenges for decision-making and coastal management for sustainable urban development. To comprehend...
journal article 2024
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Cao, Chengtai (author), Chen, Xinhong (author), Wang, J. (author), Song, Q. (author), Tan, Rui (author), Li, Yung Hui (author)
Autonomous driving systems rely on precise trajectory prediction for safe and efficient motion planning. Despite considerable efforts to enhance prediction accuracy, inherent uncertainties persist due to data noise and incomplete observations. Many strategies entail formalizing prediction outcomes into distributions and utilizing variance to...
journal article 2024
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Chen, Xi (author), Gao, C. (author), Wang, Zuowen (author), Cheng, Longbiao (author), Zhou, Sheng (author), Liu, Shih Chii (author), Delbruck, Tobi (author)
Recurrent Neural Networks (RNNs) are useful in temporal sequence tasks. However, training RNNs involves dense matrix multiplications which require hardware that can support a large number of arithmetic operations and memory accesses. Implementing online training of RNNs on the edge calls for optimized algorithms for an efficient deployment on...
journal article 2024
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Kapoor, T. (author), Chandra, Abhishek (author), Tartakovsky, Daniel M. (author), Wang, H. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)
A primary challenge of physics-informed machine learning (PIML) is its generalization beyond the training domain, especially when dealing with complex physical problems represented by partial differential equations (PDEs). This paper aims to enhance the generalization capabilities of PIML, facilitating practical, real-world applications where...
journal article 2024
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Adwani, Dheeraj (author), Pipintakos, Georgios (author), Mirwald, Johannes (author), Wang, Yudi (author), Hajj, Ramez (author), Guo, Meng (author), Liang, Meichen (author), Jing, R. (author), Varveri, Aikaterini (author)
Oxidative aging induces significant stiffening of asphalt binders that leads to a pronounced reduction in the overall durability of asphalt pavements. The strategic implementation of antioxidant additives provides a potential solution to alleviate this issue. This work presents results from the second phase of the global consortium for...
journal article 2024
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Qin, Guojin (author), Zhang, Zhenwei (author), Hou, Xiangqin (author), Lu, Hongfang (author), Huang, Y. (author), Wang, Yihuan (author)
In this work, a 3D finite element (FE) based model was developed to assess the condition of an underground hydrogen transmission pipeline containing a corrosion defect under combined internal pressure and soil movement-induced axial compression. The use of mechanical properties of X100 pipeline steel under different hydrogen charging time...
journal article 2023
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Wang, Q. (author)
doctoral thesis 2023
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Wang, Y. (author)
Solid-state defect centers, such as the nitrogen-vacancy centers in diamond, represent a promising and versatile platform for quantum technologies. This thesis focuses on overcoming the challenge of noise in diamond to facilitate its practical use in various quantum technology applications.
doctoral thesis 2023
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Wang, Guanzhong (author)
The search for Majoranas bound states has witnessed heated efforts in the past decade. This field of research lies at the intersection of both scientific and commercial interests. The Majorana quasiparticle, being its own antiparticle and exhibiting non-abelian exchange statistics, is a unique member of the family of condensed-matter...
doctoral thesis 2023
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Wang, C. (author)
The scale of the power system has been significantly expanded in recent decades. To gain real-time insights into the power system, an increasing number of sensors have been deployed tomonitor grid states, resulting in a rapidly growing number of measurement points. Simultaneously, there has also been a rise in the penetration of renewable energy...
doctoral thesis 2023
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Wang, X. (author)
In this thesis, fibre optic sensing has been investigated as an important technique for structural health monitoring. Distributed fibre optic sensing based on Rayleigh scattering is a fibre optic sensing technique to achieve the spatially continuous strain monitoring for critical locations for the structures. However, the Rayleigh backscattering...
doctoral thesis 2023
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