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  1. No Access

    Chapter and Conference Paper

    Data Enhancement Method Based on Generative Adversarial Network for Small Transmission Line Detection

    Unmanned aerial vehicle (UAV) patrol inspection is an important means of transmission line detection. However, during UAV patrol, due to the UAV or the bad weather, there may be droplets on the camera lens, wh...

    Wenkong Wang, Weijie Huang, Hongnan Zhao… in Neural Computing for Advanced Applications (2022)

  2. No Access

    Article

    Stroke prediction from electrocardiograms by deep neural network

    The brain is an energy-consuming organ that heavily relies on the heart for energy supply. Heart abnormalities detected by electrocardiogram (ECG) might provide diagnostic indicators for brain dysfunctions suc...

    Yifeng **e, Hongnan Yang, ** Yuan, Qian He… in Multimedia Tools and Applications (2021)

  3. No Access

    Chapter and Conference Paper

    Research on Association Rules Mining of Atmospheric Environment Monitoring Data

    Wireless sensor network technology and gird monitoring system have exerted positive effects on the treatment of air pollution by providing comprehensive information. Based on its data monitoring, multi-source...

    Ziling Li, Wei Zhou, **aoqian Liu… in Technology-Inspired Smart Learning for Fut… (2020)

  4. No Access

    Article

    Silicon-based on-chip diplexing/triplexing technologies and devices

    Wavelength-division-multiplexing (WDM) transceiver filters are one of the most essential components for realizing the fiber-to-the-home (FTTH) networks. In recent years, silicon photonics have provided a very ...

    Yaocheng Shi, **gye Chen, Hongnan Xu in Science China Information Sciences (2018)

  5. No Access

    Chapter and Conference Paper

    OpenPTDS Dataset: Pedestrian Trajectories in Crowded Scenarios

    Pedestrian simulation is an important approach for engineers to evaluate the safety issues of metro buildings. Although there exist many works of pedestrian evacuation, it is still lacking of rich evacuation d...

    **ao Song, **ghan Sun, **g Liu, Kai Chen… in Methods and Applications for Modeling and … (2018)

  6. No Access

    Chapter and Conference Paper

    VCG Auction Based Idle Instance Bidding to Increase IaaS Provider’s Profit in Hybrid Clouds

    In cloud computing, it is desirable for an infrastructure as a service (IaaS) provider to gain more profit by executing more tasks with hybrid clouds scheduling strategy. Most existing methods suggest IaaS pro...

    Hongnan **e, **ao Song, **g Bi, Haitao Yuan in Modeling, Design and Simulation of Systems (2017)

  7. No Access

    Chapter and Conference Paper

    A Feature Representation and Extraction Method for Malicious Code Detection Based on LZW Compression Algorithm

    Differing in traditional methods which extracted too much features or filtered valuable items, we proposed a feature representation and extraction method based on LZW compression algorithm to detect malicious ...

    Yingxu Lai, Hongnan Liu, Zhen Yang in Recent Progress in Data Engineering and In… (2013)

  8. Chapter and Conference Paper

    Classifying Stem Cell Differentiation Images by Information Distance

    The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...

    **anglilan Zhang, Hongnan Wang… in Machine Learning and Knowledge Discovery i… (2012)

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  9. No Access

    Chapter and Conference Paper

    Fault Tolerant Control of a Truss Structure Using MR Dampers

    This paper presents the design and application of an H∞ fault detection and isolation (FDI) filter and fault tolerant controller (FTC) for truss vibration control systems using MR dampers. A linear matrix ineq...

    Linsheng Huo, Hongnan Li, Gangbing Song in Applied Informatics and Communication (2011)

  10. No Access

    Chapter and Conference Paper

    Seismic Responses Prediction of Nonlinear Building Structures Based on Multi-Branch BP Neural Network

    In this paper, a multi-branch back propagation neural network (BPNN) is adopted to predict the nonlinear seismic responses of an eccentric three-story reinforced concrete building. First of all, the network is...

    Linsheng Huo, Hongnan Li, Bing Li in Advances in Neural Networks – ISNN 2009 (2009)

  11. No Access

    Chapter and Conference Paper

    Semi-active Control of Eccentric Structures Based on Neural Networks

    In this paper, the control approach to irregular structures excited by multi-dimensional ground motions is presented by using semi-active tuned liquid column damper (TLCD). A back propagation Artificial Neural...

    Hongnan Li, Linsheng Huo, Tinghua Yi in Advances in Neural Networks – ISNN 2007 (2007)