Search Results - "Jiao, Zeyu"

Knowledge platform affordances and knowledge collaboration performance: The mediating effect of user engagement by Jiao, Zeyu, Li, Chang, Chen, Jianbin

“…Knowledge collaboration is the result of knowledge transfer and social interaction among users on knowledge platforms, and its formation mechanism has…”
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Modeling the Empowerment Mechanism of Knowledge Collaboration from the Perspective of Platform Affordances by Jiao, Zeyu, Chen, Jianbin

“…In the digital economy era, knowledge platforms have both the functions of knowledge collaboration and social media. At the same time, how to promote knowledge…”
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Potential escalator-related injury identification and prevention based on multi-module integrated system for public health by Jiao, Zeyu, Lei, Huan, Zong, Hengshan, Cai, Yingjie, Zhong, Zhenyu

“…Escalator-related injuries threaten public health with the widespread use of escalators. The existing studies tend to focus on after-the-fact statistics,…”
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Relational Graph Convolutional Network for Text-Mining-Based Accident Causal Classification by Chen, Zaili, Huang, Kai, Wu, Li, Zhong, Zhenyu, Jiao, Zeyu

“…Accident investigation reports are text documents that systematically review and analyze the cause and process of accidents after accidents have occurred and…”
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A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies by Jiao, Zeyu, Lai, Yinglei, Kang, Jujiao, Gong, Weikang, Ma, Liang, Jia, Tianye, Xie, Chao, Xiang, Shitong, Cheng, Wei, Heinz, Andreas, Desrivières, Sylvane, Schumann, Gunter, Sun, Fengzhu, Feng, Jianfeng

“…•Developed a model-based reproducibility index for large-scale high-throughput MRI-based studies.•Provided an analytical tool to evaluate the sample size…”
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Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting by Jiao, Zeyu, Huang, Kai, Wang, Qun, Zhong, Zhenyu, Cai, Yingjie

“…Litchi, a succulent and perishable fruit, presents a narrow annual harvest window of under two weeks. The advent of smart agriculture has driven the adoption…”
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COVID-19 contact tracking based on person reidentification and geospatial data by Zhang, Boxing, Lei, Huan, Cai, Yingjie, Zhong, Zhenyu, Jiao, Zeyu

“…Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the current methods rely heavily on manual investigation and…”
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Modified DEMATEL Method Based on Objective Data Grey Relational Analysis for Time Series by Wang, Qun, Huang, Kai, Goh, Mark, Jiao, Zeyu, Jia, Guozhu

“…Smart data selection can quickly sieve valuable information from initial data. Doing so improves the efficiency of analyzing situations to aid in better…”
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Pedestrian re-identification based on attention mechanism and Multi-scale feature fusion by Liu, Songlin, Zhang, Shouming, Diao, Zijian, Fang, Zhenbin, Jiao, Zeyu, Zhong, Zhenyu

“…Existing pedestrian re-identification models generally have low pedestrian retrieval accuracy when encountering factors such as changes in pedestrian posture…”
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Ensuring Computers Understand Manual Operations in Production: Deep-Learning-Based Action Recognition in Industrial Workflows by Jiao, Zeyu, Jia, Guozhu, Cai, Yingjie

“…In this study, we consider fully automated action recognition based on deep learning in the industrial environment. In contrast to most existing methods, which…”
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An Empirical Study on the Influencing Factors of Customers' Acceptance Intention towards Online Behavioral Advertising by Liang, Rui, Jiao, Zeyu, Liu, Ziyang

“…Big data mining and analysis technology greatly influence the development of the advertising industry. In order to capture large information on consumers'…”
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Research on Takagi-Sugeno Fuzzy-Model-Based Vehicle Stability Control for Autonomous Vehicles by Jiao, Zeyu, Wu, Jian, Chen, Zhengfeng, Wang, Fengbo, Li, Lijun, Kong, Qingfeng, Lin, Fen

“…Human–machine cooperative driving is an important stage in the development of autonomous driving technology. However, in emergencies, the problem of vehicle…”
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A new approach to oil spill detection that combines deep learning with unmanned aerial vehicles by Jiao, Zeyu, Jia, Guozhu, Cai, Yingjie

“…[Display omitted] •A new approach, combining computer vision with UAV, is proposed to detect oil spills.•This approach is pioneering, and the results are…”
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Robust time-series InSAR deformation monitoring by integrating variational mode decomposition and gated recurrent units by Ma, Peifeng, Jiao, Zeyu, Wu, Zherong

“…Continuous and large-scale surface deformation monitoring is critical for the comprehension of natural hazards and environmental changes. This can be…”
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Static, free vibration, and buckling analysis of functionally graded plates using the dual mesh control domain method by Jiao, Zeyu, Heblekar, Tanmaye, Wang, Guannan, Xu, Rongqiao, Reddy, J.N.

“…In this paper, the Dual Mesh Control Domain Method (DMCDM) put forward by Reddy is applied to solve linear static, free vibration, and buckling problems of…”
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Semantic differences and psychological behavior in multi-criteria group decision-making: Do they need consideration? by Wang, Qun, Jia, Guozhu, Goh, Mark, Jiao, Zeyu, Song, Wenyan

“…In Multi-Criteria Group Decision-Making (MCGDM), linguistic evaluation is widely used due to its flexibility. In particular, Personalized Individual Semantics…”
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Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction by Ma, Peifeng, Yu, Chang, Jiao, Zeyu, Zheng, Yi, Wu, Zherong, Mao, Wenfei, Lin, Hui

“…Atmospheric delay (AD) is the main source of error in time-series interferometric synthetic aperture radar (InSAR) deformation estimation over large areas. In…”
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Prediction of airflow rate passing through compressible wet fiber web in vacuum dewatering for energy conversion improvement by Ren, Peng, Han, Ying, Fang, Xiangjun, Jiao, Zeyu

“…Vacuum dewatering is a highly energy-intensive process that is widely adopted in industrial production such as papermaking and chemical manufacture. A…”
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Artificial intelligence‐based intelligent surveillance for reducing nurses' working hours in nurse–patient interaction: A two‐wave study by Huang, Kai, Jiao, Zeyu, Cai, Yingjie, Zhong, Zhenyu

“…Aim To explore the feasibility of applying artificial intelligence in nurse–patient interaction to assist nurses in grasping patient status and reducing their…”
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Bayberry segmentation in a complex environment based on a multi-module convolutional neural network by Lei, Huan, Huang, Kai, Jiao, Zeyu, Tang, Yu, Zhong, Zhenyu, Cai, Yingjie

“…Automatic bayberry picking can substantially reduce labor costs and improve picking efficiency in an orchard management system. Nowadays, an automatic picking…”
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