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Huang, Charles (author), Vasudevan, Varun (author), Pastor Serrano, O. (author), Islam, Md Tauhidul (author), Nomura, Yusuke (author), Dubrowski, Piotr (author), Wang, Jen Yeu (author), Schulz, Joseph B. (author), Yang, Yong (author)
Objective. In this work, we propose a content-based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity. Retrieved dose distributions from this method can be incorporated into automated treatment planning workflows in order to streamline the iterative planning process....
journal article 2023
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Wang, Chuan (author), Sun, Renjuan (author), Hu, Xinlei (author), Guan, Yanhua (author), Yang, Yingzi (author), Lu, Wei (author), Tian, Jun (author), Zhang, Hongzhi (author), Ge, Zhi (author), Šavija, B. (author)
This paper presents a research on the chloride penetration behavior of engineered cementitious composites (ECC) under sustained flexural loads. Three load levels, i.e. 30 %, 60 % and 75 % of the ultimate flexural load were used. Chloride diffusion depth and concentration profile were measured 30, 60 and 150 days after the specimen was exposed...
journal article 2023
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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)
Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...
conference paper 2023
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Lin, H. (author), Yang, Miao (author), Ru, Xiaoning (author), Wang, Genshun (author), Yin, Shi (author), Peng, Fuguo (author), Han, C. (author), Procel Moya, P.A. (author), Isabella, O. (author)
Silicon heterojunction (SHJ) solar cells have reached high power conversion efficiency owing to their effective passivating contact structures. Improvements in the optoelectronic properties of these contacts can enable higher device efficiency, thus further consolidating the commercial potential of SHJ technology. Here we increase the...
journal article 2023
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Hou, Yueqi (author), Liang, Xiaolong (author), Lv, Maolong (author), Yang, Q. (author), Li, Y. (author)
Unmanned Aerial Vehicle (UAV) maneuver strategy learning remains a challenge when using Reinforcement Learning (RL) in this sparse reward task. In this paper, we propose Subtask-Masked curriculum learning for RL (SUBMAS-RL), an efficient RL paradigm that implements curriculum learning and knowledge transfer for UAV maneuver scenarios...
journal article 2023
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Arango, Erica (author), Nogal Macho, M. (author), Yang, M. (author), Sousa, Hélder S. (author), Stewart, Mark G. (author), Matos, José C. (author)
Wildfires have become a source of concern for society due to the increase in frequency, intensity, and unpredictability. This has caused serious impacts all over the world, even in areas where this type of problem did not occur before. Studies on the adaptation of critical infrastructure have been conducted to reduce the...
conference paper 2023
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Yang, Maosheng (author), Das, B. (author), Isufi, E. (author)
Simplicial convolutional filters can process signals defined over levels of a simplicial complex such as nodes, edges, triangles, and so on with applications in e.g., flow prediction in transportation or financial networks. However, the underlying topology expands over time in a way that new edges and triangles form. For example, in a...
conference paper 2023
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Liu, Huan (author), Wang, Shilei (author), Jing, Guoqing (author), Yu, Ziye (author), Yang, Jin (author), Zhang, Yong (author), Guo, Y. (author)
Vehicle-mounted ground-penetrating radar (GPR) has been used to non-destructively inspect and evaluate railway subgrade conditions. However, existing GPR data processing and interpretation methods mostly rely on time-consuming manual interpretation, and limited studies have applied machine learning methods. GPR data are complex, high...
journal article 2023
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Yao, Z. (author), Yang, G. (author), Han, C. (author), Procel Moya, P.A. (author), Özkol, E. (author), Yan, J. (author), Zhao, Y. (author), Cao, L. (author), van Swaaij, R.A.C.M.M. (author), Mazzarella, L. (author), Isabella, O. (author)
Passivating contacts are crucial for realizing high-performance crystalline silicon solar cells. Herein, contact formation by plasma-enhanced chemical vapor deposition (PECVD) followed by an annealing step is focused on. Poly-SiO<sub>x</sub> passivating contacts by combining plasma-assisted N<sub>2</sub>O-based oxidation of silicon (PANO-SiO...
journal article 2023
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Zhao, Wenbo (author), Qiang, Weile (author), Yang, Fei (author), Jing, Guoqing (author), Guo, Y. (author)
Ballast layer defects are the primary cause for rapid track geometry degradation. Detecting these defects in real-time during track inspections is urgently needed to ensure safe train operations. To achieve this, an indicator, the track degradation rate (TDR) was proposed. This rate is calculated using track geometry inspection data to locate...
journal article 2023
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Yang, Z. (author), Ye, Qin (author), Wang, Xufei (author), Peters, R.Y. (author)
Objective Recent advancements in laser scanners and photogrammetry technology have significantly reduced the cost of acquiring 3D point clouds. Consequently, various types of point clouds have gradually become popular data sources for urban applications. The accurate registration of cross-source and multi<sup>-</sup>temporal point clouds must...
journal article 2023
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Sun, Zhu (author), Fang, Hui (author), Yang, J. (author), Qu, Xinghua (author), Liu, Hongyang (author), Yu, Di (author), Ong, Yew Soon (author), Zhang, Jie (author)
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation...
journal article 2023
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Song, Dongdong (author), Yang, Xiaobao (author), Yang, Y. (author), Cui, Pengfei (author), Zhu, Guangyu (author)
Truck-involved crashes, especially truck-car crashes, are associated with serious and even fatal injuries, thus necessitating an in-depth analysis. Prior research focused solely on examining the injury severity of truck drivers or developed separate performance models for truck and car drivers. However, the severity of injuries to both...
journal article 2023
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He, S. (author), Chen, Y. (author), Liang, M. (author), Yang, En-Hua (author), Schlangen, E. (author)
This study investigates the microstructural changes of cement paste due to the inclusion of polymeric microfiber at different water-to-cement (w/c) ratios. A procedure to quantify the porosity of epoxy impregnated interfacial transition zone (ITZ) is also presented. Results show that the microstructures of the ITZ beneath and above a...
journal article 2023
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Iaiani, Matteo (author), Tugnoli, Alessandro (author), Cozzani, Valerio (author), Reniers, G.L.L.M.E. (author), Yang, M. (author)
Deliberate attacks (security attacks) pose a significant threat to offshore Oil&amp;Gas critical infrastructures as they have the potential of triggering major event scenarios with severe consequences on people, property, and the surrounding environment. The standards API RP 70 and API RP 70I address security issues in the offshore Oil&amp;Gas...
journal article 2023
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Yin, Xiaole (author), Chen, Xi (author), Jiang, Xiao Tao (author), Yang, Ying (author), Li, Bing (author), Shum, Marcus Ho Hin (author), Schmitt, H. (author), Cha, Chang Jun (author), van Loosdrecht, Mark C.M. (author)
Surveillance of antibiotic resistance genes (ARGs) has been increasingly conducted in environmental sectors to complement the surveys in human and animal sectors under the "One-Health"framework. However, there are substantial challenges in comparing and synthesizing the results of multiple studies that employ different test methods and...
journal article 2023
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Zhao, Y. (author), Datta, Kunal (author), Paggiaro, Giulia (author), Liu, Hanchen (author), Fardousi, Mohua (author), Santbergen, R. (author), Procel Moya, P.A. (author), Han, C. (author), Yang, G. (author), Weeber, A.W. (author), Zeman, M. (author), Mazzarella, L. (author), Isabella, O. (author)
Monolithic perovskite/c-Si tandem solar cells have attracted enormous research attention and have achieved efficiencies above 30%. This work describes the development of monolithic tandem solar cells based on silicon heterojunction (SHJ) bottom- and perovskite top-cells and highlights light management techniques assisted by optical simulation...
journal article 2023
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Jiang, Bojing (author), Tan, Sin Yen (author), Fang, Shiyu (author), Feng, Xiaohan (author), Park, B.P. (author), Fok, Hong Kiu Francis (author), Yang, Zhongguang (author), Wang, Ri (author), Kou, Songzi (author), Wu, Angela Ruohao (author), Sun, Fei (author)
Spider silk is recognized for its exceptional mechanical properties and biocompatibility, making it a versatile platform for developing functional materials. In this study, a modular functionalization strategy for recombinant spider silk is presented using SpyTag/SpyCatcher chemistry, a prototype of genetically encoded click chemistry. The...
journal article 2023
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Yang, Jinxin (author), Wu, Zhifeng (author), Menenti, M. (author), Wong, Man Sing (author), Xie, Yanhua (author), Zhu, Rui (author), Abbas, Sawaid (author), Xu, Yong (author)
Urban morphology affects the sensible heat flux and net radiation exchange which can alter urban heat mitigation plans. This study first parameterized the geometric effects on the net radiation, and then calculated the net radiation and sensible heat flux in the urban landscape of Hong Kong. Considering that the sensible heat flux is the main...
journal article 2023
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Zhang, Xinqi (author), Shi, Jihao (author), Huang, Xinyan (author), Xiao, Fu (author), Yang, M. (author), Huang, Jiawei (author), Yin, Xiaokang (author), Sohail Usmani, Asif (author), Chen, Guoming (author)
Deep learning has been widely applied to automated leakage detection and location of natural gas pipe networks. Prevalent deep learning approaches do not consider the spatial dependency of sensors, which limits leakage detection performance. Graph deep learning is a promising alternative to prevailing approaches as it can model spatial...
journal article 2023
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