يعرض 1 - 20 نتائج من 60 نتيجة بحث عن '"Fu, Xinsha"', وقت الاستعلام: 0.58s تنقيح النتائج
  1. 1
    Report
    CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph

    المؤلفون: He, Silu, Luo, Qinyao, Fu, Xinsha, Zhao, Ling, Du, Ronghua, Li, Haifeng

    المصدر: Information Science 2024

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Social and Information Networks

    URL الوصول: http://arxiv.org/abs/2312.08672

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  2. 2
    Academic Journal
    Reducing overfitting in vehicle recognition by decorrelated sparse representation regularisation.

    المؤلفون: Wei, Wanyu1 (AUTHOR), Fu, Xinsha1 (AUTHOR) fuxinsha@scut.edu.cn, Ma, Siqi1 (AUTHOR), Zhu, Yaqiao1 (AUTHOR), Lu, Ning1 (AUTHOR)

    المصدر: IET Computer Vision (Wiley-Blackwell). Dec2024, Vol. 18 Issue 8, p1351-1361. 11p.

    مصطلحات موضوعية: INTELLIGENT transportation systems, IMAGE recognition (Computer vision), COMPUTER vision, CONVOLUTIONAL neural networks, FEATURE extraction

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  3. 3
    Report
    Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

    المؤلفون: Guo, Enqiang, Fu, Xinsha, Zhu, Jiawei, Deng, Min, Liu, Yu, Zhu, Qing, Li, Haifeng

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/1810.09111

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  4. 4
    Academic Journal
    Local-Specificity and Wide-View Attention Network With Hard Sample Aware Contrastive Loss for Street Scene Change Detection

    المؤلفون: Guo, Enqiang, Fu, Xinsha

    المساهمون: National Natural Science Foundation of China, Changsha Natural Science Foundation

    المصدر: IEEE Access ; volume 11, page 129009-129030 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2023.3333360
    http://xplorestaging.ieee.org/ielx7/6287639/10005208/10319419.pdf?arnumber=10319419

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  5. 5
    Academic Journal
    An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features

    المؤلفون: Zhong, Shiyu, Fu, Xinsha, Lu, Wei, Tang, Feng, Lu, Yue

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 10, page 57212-57226 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2022.3165570
    http://xplorestaging.ieee.org/ielx7/6287639/9668973/09751071.pdf?arnumber=9751071

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  6. 6
    Academic Journal
    A Bayesian Bivariate Random Parameters and Spatial-Temporal Negative Binomial Lindley Model for Jointly Modeling Crash Frequency by Severity: Investigation for Chinese Freeway Tunnel Safety

    المؤلفون: Cai, Mingmao, Tang, Feng, Fu, Xinsha

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 10, page 38045-38064 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2022.3165065
    http://xplorestaging.ieee.org/ielx7/6287639/9668973/09749214.pdf?arnumber=9749214

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  7. 7
    Academic Journal
    Acceleration and Deceleration Parameter Calibration of Tunnel Entrance Based on the Naturalistic Driving Test of Passenger Car

    المؤلفون: He, Shijian, Fu, Xinsha, Tan, Zhihua, Wang, Jijing, Ge, Ting

    المساهمون: Nimbalkar, Sanjay, National Natural Science Foundation of China

    المصدر: Advances in Civil Engineering ; volume 2021, issue 1 ; ISSN 1687-8086 1687-8094

    الاتاحة: http://dx.doi.org/10.1155/2021/5590759
    http://downloads.hindawi.com/journals/ace/2021/5590759.pdf
    http://downloads.hindawi.com/journals/ace/2021/5590759.xml
    https://onlinelibrary.wiley.com/doi/pdf/10.1155/2021/5590759

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  8. 8
    Academic Journal
    Recognition of occluded targets in SAR images based on matching of attributed scattering centers

    المؤلفون: Lu, Chongzhen, Fu, Xinsha, Lu, Yue

    المساهمون: National Natural Science Foundation of China

    المصدر: Remote Sensing Letters ; volume 12, issue 9, page 932-943 ; ISSN 2150-704X 2150-7058

    الاتاحة: http://dx.doi.org/10.1080/2150704x.2021.1946197
    https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2021.1946197

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  9. 9
    Academic Journal
    XGBoost Algorithm-Based Monitoring Model for Urban Driving Stress: Combining Driving Behaviour, Driving Environment, and Route Familiarity

    المؤلفون: Lu, Yue, Fu, Xinsha, Guo, Enqiang, Tang, Feng

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 9, page 21921-21938 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2021.3055551
    http://xplorestaging.ieee.org/ielx7/6287639/9312710/09340309.pdf?arnumber=9340309

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  10. 10
    Academic Journal
    Investigation of the Factors Influencing the Crash Frequency in Expressway Tunnels: Considering Excess Zero Observations and Unobserved Heterogeneity

    المؤلفون: Tang, Feng, Fu, Xinsha, Cai, Mingmao, Lu, Yue, Zhong, Shiyu

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 9, page 58549-58565 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2021.3072914
    http://xplorestaging.ieee.org/ielx7/6287639/9312710/09402736.pdf?arnumber=9402736

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  11. 11
    Conference
    Numerical Simulation Study of Non-standard Prestressed Concrete Continuous Box Girder Bridge

    المؤلفون: Luo, Xu, Gu, Lixiong, Fu, Xinsha

    المصدر: Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

    الاتاحة: http://dx.doi.org/10.2991/mbdasm-19.2019.21

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  12. 12
    Academic Journal
    Test-loading Capacity Estimation of Slip-lined RCPs using a plastic approach

    المؤلفون: He, Yuting, Fu, Xinsha, Li, Baijian

    المصدر: IOP Conference Series: Earth and Environmental Science ; volume 474, issue 6, page 062014 ; ISSN 1755-1307 1755-1315

    الاتاحة: http://dx.doi.org/10.1088/1755-1315/474/6/062014
    https://iopscience.iop.org/article/10.1088/1755-1315/474/6/062014/pdf
    https://iopscience.iop.org/article/10.1088/1755-1315/474/6/062014

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  13. 13
    Academic Journal
    Applying a Correlated Random Parameters Negative Binomial Lindley Model to Examine Crash Frequency Along Highway Tunnels in China

    المؤلفون: Tang, Feng, Fu, Xinsha, Cai, Mingmao, Lu, Yue, Zhong, Shiyu, Lu, Chongzhen

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 8, page 213473-213488 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2020.3040211
    http://xplorestaging.ieee.org/ielx7/6287639/8948470/09268056.pdf?arnumber=9268056

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  14. 14
    Academic Journal
    Multilevel Traffic State Detection in Traffic Surveillance System Using a Deep Residual Squeeze-and-Excitation Network and an Improved Triplet Loss

    المؤلفون: Tang, Feng, Fu, Xinsha, Cai, Mingmao, Lu, Yue, Zeng, Yanjie, Zhong, Shiyu, Huang, Yan, Lu, Chongzhen

    المساهمون: National Natural Science Foundation of China

    المصدر: IEEE Access ; volume 8, page 114460-114474 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2020.3004178
    http://xplorestaging.ieee.org/ielx7/6287639/8948470/09122489.pdf?arnumber=9122489

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  15. 15
    Academic Journal
    Robust Multivehicle Tracking With Wasserstein Association Metric in Surveillance Videos

    المؤلفون: Zeng, Yanjie, Fu, Xinsha, Gao, Lei, Zhu, Jiawei, Li, Haifeng, Li, Yuheng

    المساهمون: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province

    المصدر: IEEE Access ; volume 8, page 47863-47876 ; ISSN 2169-3536

    الاتاحة: http://dx.doi.org/10.1109/access.2020.2978539
    http://xplorestaging.ieee.org/ielx7/6287639/8948470/09025266.pdf?arnumber=9025266

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  16. 16
    Academic Journal
    A method for evaluating the safety of freeway tunnel sections based on driving comfort - a naturalistic driving study

    المؤلفون: Ge, Hongcheng, He, Shijian, Sun, Yuhai, Xia, Zengxuan, Fu, Xinsha, Guo, Zhongyin

    المساهمون: National Natural Science Foundation of China, Scientific Research Fund of Hunan Provincial Education Department, Changsha Natural Science Foundation, Natural Science Foundation of Hunan Province, Yunnan Provincial Department of Transportation Science and Technology Innovation and Demonstration Project, Guangzhou New Baiyun International Airport Second Expressway South Project

    المصدر: Traffic Injury Prevention ; volume 24, issue 8, page 670-677 ; ISSN 1538-9588 1538-957X

    الاتاحة: http://dx.doi.org/10.1080/15389588.2023.2249569
    https://www.tandfonline.com/doi/pdf/10.1080/15389588.2023.2249569

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  17. 17
    Academic Journal
    Driver's mental workload classification using physiological, traffic flow and environmental factors

    المؤلفون: Wei, Wanyu, Fu, Xinsha, Zhong, Shiyu, Ge, Hongcheng

    المساهمون: National Natural Science Foundation of China

    المصدر: Transportation Research Part F: Traffic Psychology and Behaviour ; volume 94, page 151-169 ; ISSN 1369-8478

    الاتاحة: http://dx.doi.org/10.1016/j.trf.2023.02.004
    https://api.elsevier.com/content/article/PII:S1369847823000311?httpAccept=text/xml
    https://api.elsevier.com/content/article/PII:S1369847823000311?httpAccept=text/plain

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  18. 18
    Book
    Analysis on driving suitability of tunnel section based on driving behavior and roadside environment

    المؤلفون: Ge, Hongcheng, Fu, Xinsha, Lu, Yue, Cai, Mingmao

    المصدر: Frontier Research: Road and Traffic Engineering ; page 39-51 ; ISBN 9781003305002

    الاتاحة: http://dx.doi.org/10.1201/9781003305002-5

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  19. 19
    Book
    Field test of a medium-size double-span box-type corrugated steel bridge

    المؤلفون: Fu, Wenqiang, Fu, Xinsha, He, Yuting, Li, Baijian

    المصدر: Advances in Civil Function Structure and Industrial Architecture ; page 396-411 ; ISBN 9781003305019

    الاتاحة: http://dx.doi.org/10.1201/9781003305019-57

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  20. 20
    Academic Journal
    Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting.

    المؤلفون: Liu, Gang, He, Silu, Han, Xing, Luo, Qinyao, Du, Ronghua, Fu, Xinsha, Zhao, Ling

    المصدر: Symmetry (20738994); Nov2023, Vol. 15 Issue 11, p2002, 18p

    مصطلحات موضوعية: TRAFFIC flow, TRAFFIC estimation, DEEP learning, ARTIFICIAL neural networks, INTELLIGENT transportation systems, COMPUTER network traffic

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