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  1. No Access

    Chapter and Conference Paper

    Research on Visual Servo Control System of Substation Insulator Washing Robot

    This paper first describes the overall structure of the insulator washing robot, designs the visual servo control system structure of the insulator washing robot, and obtains the equipment position information...

    Zhipeng Li, Shouyin Lu, Zhe Jiang, Shiwei Yu in Neural Computing for Advanced Applications (2022)

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    Chapter and Conference Paper

    Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot

    In order to promote the rehabilitation of upper limb function of patients suffering from stroke, a homogeneous and homogeneous master-slave upper limb exoskeleton rehabilitation robot was designed based on the...

    Shiwei Yu, Shouyin Lu, Zhe Jiang, Zhipeng Li in Neural Computing for Advanced Applications (2022)

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    Chapter and Conference Paper

    Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

    Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research. Deep learning methods have achieved good results in medical n...

    Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen in Artificial Intelligence (2022)

  4. Chapter and Conference Paper

    Detection of Damage and Failure Events of Road Infrastructure Using Social Media

    We study the problem of estimating the state of road infrastructure, which is the backbone of transportation system. Road infrastructure can suffer from various issues, including structural failures, such as p...

    Aibek Musaev, Zhe Jiang, Steven Jones, Pezhman Sheinidashtegol in Web Services – ICWS 2018 (2018)

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    Chapter and Conference Paper

    Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results

    This paper investigates the colocation pattern mining problem for big spatial event data. Colocation patterns refer to subsets of spatial features whose instances are frequently located together. The problem i...

    Arpan Man Sainju, Zhe Jiang in Advances in Spatial and Temporal Databases (2017)

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    Chapter and Conference Paper

    Abnormal Crowd Motion Detection Using Double Sparse Representations

    Sparse representation method has been well used in image analysis, restoration and recognition, and it has also been introduced to analysis of video crowd movements recent years. To improve its accuracy of det...

    **zhe Jiang, Ye Tao, Wei Zhao in Intelligence Science and Big Data Engineer… (2015)

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    Chapter and Conference Paper

    A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path

    The Best-start-time Lagrangian Shortest Path (BLSP) problem requires choosing the start time that yields the shortest path in a time-dependent graph. The inputs to the problem are a spatio-temporal network, an...

    Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu in Advances in Spatial and Temporal Databases (2015)

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    Chapter and Conference Paper

    A New Extended Dominance Relation Approach Based on Probabilistic Rough Set Theory

    A new extended dominance relation is proposed for multi-attribute decision making problems with preference and incomplete information. First, the concept of new extended dominance relation based on the possibi...

    Decui Liang, Simon X. Yang, Chaozhe Jiang in Rough Set and Knowledge Technology (2010)

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    Chapter and Conference Paper

    On the Feedback Stabilization of Matrix

    In this paper, several strategies for feedback stabilization of matrix are presented via the numerical stabilization of polynomial and matrix.

    JianDa Han, Zhe Jiang, YiWen Zhao in Proceedings of the European Computing Conf… (2009)

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    Chapter and Conference Paper

    The Incremental Learning Methodology of VPRS Based on Complete Information System

    By considering the inconsistent character in many information system, the variable precision rough set (VPRS) model is introduced to solve decision-making problems in this paper. Firstly, the integrations of t...

    Dun Liu, Pei Hu, Chaozhe Jiang in Rough Sets and Knowledge Technology (2008)

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    Chapter and Conference Paper

    An Adaptive Threshold Neural-Network Scheme for Rotorcraft UAV Sensor Failure Diagnosis

    This paper presents an adaptive threshold neural-network scheme for Rotorcraft Unmanned Aerial Vehicle (RUAV) sensor failure diagnosis. The approach based on adaptive threshold has the advantages of better det...

    Juntong Qi, **ngang Zhao, Zhe Jiang, Jianda Han in Advances in Neural Networks – ISNN 2007 (2007)