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Li, Zirui (author), Gong, Cheng (author), Lin, Yunlong (author), Li, G. (author), Wang, Xinwei (author), Lu, Chao (author), Wang, Miao (author), Chen, Shanzhi (author), Gong, Jianwei (author)
Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...
review 2023
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Wang, Xinyue (author), Yang, Zhoudong (author), Wang, Boya (author), Chen, Wei (author), Zhang, Kouchi (author), Zhang, Jing (author), Fan, J. (author), Liu, P. (author)
Power modules applied in offshore applications are facing risks of corrosion failures on die-attach materials due to high humidity and H<sub>2</sub>S exposure. To investigate such corrosion behavior for sintered die-attach materials, we conducted a study with four groups of samples fabricated using copper and silver metal particles under...
journal article 2023
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Chen, Haixue (author), Wang, Xinyue (author), Zeng, Zejun (author), Zhang, Kouchi (author), Zhang, Jing (author), Liu, Pan (author)
With the development of electronic technology towards high power, miniaturization, and system integration, power electronic packaging is facing increasing challenges, especially for die attachment. This research aims to explore silver-coated copper (Cu@Ag) paste with sufficient mechanical properties and high-temperature reliability, as an...
journal article 2023
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Chen, Siyu (author), Chen, Can (author), Ma, Tao (author), Han, Chengjia (author), Luo, Haoyuan (author), Wang, Siqi (author), Gao, Y. (author), Yang, Yaowen (author)
Usage of asphalt mixture with poor gradation will most likely lead to pavement deficiency. There is a growing need for rapid and non-destructive methods to extract pavement aggregate gradation. In this study, a deep learning-based method that utilizes point clouds data for gradation extraction was proposed. Firstly, a data enhancement...
journal article 2023
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Li, Na (author), Zhu, Junhui (author), Chen, Peiru (author), Bao, Chuntong (author), Wang, Jun (author), Abdelaal, T.R.M. (author), Chen, Dexi (author), Zhu, Sibo (author), Wang, Wenjing (author)
Due to the increase in bacterial resistance, improving the anti-infectious immunity of the host is rapidly becoming a new strategy for the prevention and treatment of bacterial pneumonia. However, the specific lung immune responses and key immune cell subsets involved in bacterial infection are obscure. Actinobacillus pleuropneumoniae (APP)...
journal article 2023
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Lu, Tao (author), Chen, Rong (author), Wang, Ping (author), Wu, Junwei (author), Steenbergen, M.J.M.M. (author)
This work addresses the contribution of the wavelength composition of the spectrum of the rail support stiffness profile to the expected long-term settlement. To that aim, purely harmonic stiffness variations of different wavelength are studied. The frequency-domain model with a double periodicity level previously developed by the first and...
journal article 2023
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Qiao, Li (author), Luo, Zhiyuan (author), Wang, Ru (author), Pei, Xiaolin (author), Wu, Shujiao (author), Chen, Haomin (author), Xie, Tian (author), Sheldon, R.A. (author), Wang, Anming (author)
Two non-canonical amino acids (ncAAs) with bio-orthogonal reactive groups, namely, p-azido-l-phenylalanine (p-AzF) and p-propargyloxy-l-phenylalanine (p-PaF), were genetically inserted into an aldo-keto reductase (AKR) and an alcohol dehydrogenase (ADH), respectively, at two preselected sites for each enzyme. The variants were expressed in...
journal article 2023
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Guo, Youwei (author), Xiao, Guoqing (author), Wang, Lingyuan (author), Chen, C. (author), Deng, Hongbo (author), Mi, Hongfu (author), Tu, Chu (author), Li, Yuanyuan (author)
Pool fire is a typical example of fire accidents in chemical process industries. Since fire researchers have implemented a variety of measurements to gain insights into pool fire and to prevent fire disasters, there is a need to illustrate how pool fire models influence the risk assessment results. This review intends to consecutively discuss...
review 2023
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Wang, Lu Yu (author), Chen, Wei Zhong (author), Zhang, Yan Jun (author), Zhang, Xiao Dong (author), Vuik, Cornelis (author)
Modeling of fluid flow in porous media is a pillar in geoscience applications. Previous studies have revealed that heterogeneity and fracture distribution have considerable influence on fluid flow. In this work, a numerical investigation of two-phase flow in heterogeneous fractured reservoir is presented. First, the discrete fracture model is...
journal article 2023
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
Lane-changing (LC) in congested traffic has been identified as a trigger for the sudden deceleration behavior of the new follower in the target lane, leading to severe traffic disturbances. Thus, investigating the response of the new follower to an LC maneuver is an important research topic in the literature. To date, numerous efforts have...
journal article 2023
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Guo, R. (author), Chen, C. (author), Bannenberg, L.J. (author), Wang, H. (author), Liu, Haozhe (author), Yu, Minghao (author), Sofer, Zdenek (author), Lei, Zhibin (author), Wang, Xuehang (author)
Limited Li resources, high cost, and safety risks of using organic electrolytes have stimulated a strong motivation to develop non-Li aqueous batteries. Aqueous Zn-ion storage (ZIS) devices offer low-cost and high-safety solutions. However, their practical applications are at the moment restricted by their short cycle life arising mainly from...
review 2023
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Wu, Qiang (author), Song, Dongdong (author), Wang, Chenzhu (author), Chen, Fei (author), Cheng, Jianchuan (author), Easa, Said M. (author), Yang, Y. (author), Yang, Wenchen (author)
This study proposes random-parameters multinomial logit models, with heterogeneity in means and variances, to explore the differences in the factors influencing injury severities of drivers involved in different types of two-vehicle crashes. The models are verified using crash data from the United Kingdom (UK) over three years (2016–2018). Three...
journal article 2023
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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...
conference paper 2023
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Wang, Hanyu (author), Chen, Dengkai (author), Huang, Y. (author), Zhang, Yahan (author), Qiao, Yidan (author), Xiao, Jianghao (author), Xie, Ning (author), Fan, Hao (author)
This study aimed to enhance the real-time performance and accuracy of vigilance assessment by developing a hidden Markov model (HMM). Electrocardiogram (ECG) signals were collected and processed to remove noise and baseline drift. A group of 20 volunteers participated in the study. Their heart rate variability (HRV) was measured to train...
journal article 2023
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Liu, Huanhuan (author), Wang, R. (author), Gao, Haiyan (author), Chen, Lijuan (author), Li, Xiaochen (author), Yu, Xuan (author), Wu, Yaping (author), Bai, Yan (author), Wei, W. (author), Wang, Meiyun (author)
The development of clinical imaging techniques significantly improves diagnostic accuracy and provides guidance for personalized treatment of individuals. However, every single imaging modality has its distinct drawbacks that cannot fully fulfil the diagnosis requirement. Thus, rational combination of different imaging modalities can achieve...
review 2023
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Yang, Xinkui (author), Wu, Shaopeng (author), Xu, S. (author), Chen, B. (author), Chen, Dongyu (author), Wang, Fusong (author), Jiang, Jian (author), Fan, Lulu (author), Tu, Liangliang (author)
Aimed to address the low utilization rate of steel slag (SS) and its challenge in resource utilization in China, this study developed ternary geopolymers made by high-content (50%) SS together with fly ash (FA) and granulated blast furnace slag (GBFS). The effects of GBFS content (0–40%) and curing methods (water curing, standard curing,...
journal article 2023
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Wang, Zhe (author), Wu, Shilong (author), Chen, Hang (author), He, Mao-Kui (author), Du, Jun (author), Lee, Chin-Hui (author), Chen, Jingdong (author), Watanabe, Shinji (author), Siniscalchi, Sabato Marco (author), Scharenborg, O.E. (author), Liu, Diyuan (author)
The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research into wake-up words, speaker diarization, speech recognition, and other technologies. The MISP2022 challenge has two tracks: 1) audio-visual speaker diarization (AVSD),...
conference paper 2023
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Chen, G. (author), Zhang, Ke (author), Wang, Sheng (author), Jia, T. (author)
Physically-based hydrological-geotechnical modeling at large scales is difficult, especially due to the time-consuming nature of flow routing and 3D soil stability models. Although parallelization techniques are commonly used for each model individually, there is currently no concurrent parallelization strategy for both. This study proposed...
journal article 2023
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Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices....
conference paper 2023
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