Search Results - "Wei, Lisheng"

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  1. 1

    Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network by Wei, Lisheng, Ding, Kun, Hu, Huosheng

    Published in IEEE access (2020)
    “…The complex detection background and lesion features make the automatic detection of dermoscopy image lesions face many challenges. The previous solutions…”
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    Journal Article
  2. 2

    PEDNet: A Proposal Enhancement Dynamic Network for Fine-Grained Ship Detection in Optical Remote Sensing Images by Zhu, Shengbo, Wei, Lisheng

    Published in IEEE access (2024)
    “…Fine-grained ship detection (FGSD) refers to identify and localize different ships in optical remote sensing images, which is utilized in both civilian and…”
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    Journal Article
  3. 3

    Dermoscopic Image Classification Method Using an Ensemble of Fine-Tuned Convolutional Neural Networks by Shen, Xin, Wei, Lisheng, Tang, Shaoyu

    Published in Sensors (Basel, Switzerland) (30-05-2022)
    “…Aiming at the problems of large intra-class differences, small inter-class differences, low contrast, and small and unbalanced datasets in dermoscopic images,…”
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    Journal Article
  4. 4

    Adaptive Neural Network Finite-Time Control of Uncertain Fractional-Order Systems with Unknown Dead-Zone Fault via Command Filter by Deng, Xiongfeng, Wei, Lisheng

    Published in Fractal and fractional (01-09-2022)
    “…In this paper, the adaptive finite-time control problem for fractional-order systems with uncertainties and unknown dead-zone fault was studied by combining a…”
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    Journal Article
  5. 5

    A New Wind Speed Forecasting Modeling Strategy Using Two-Stage Decomposition, Feature Selection and DAWNN by Sun, Sizhou, Wei, Lisheng, Xu, Jie, Jin, Zhenni

    Published in Energies (Basel) (22-01-2019)
    “…Accurate wind speed prediction plays a crucial role on the routine operational management of wind farms. However, the irregular characteristics of wind speed…”
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    Journal Article
  6. 6

    An adaptive particle swarm optimization with information interaction mechanism by Liu, Rui, Wei, Lisheng, Zhang, Pinggai

    Published in Machine learning: science and technology (01-06-2024)
    “…Abstract This paper proposes an adaptive particle swarm optimization with information interaction mechanism (APSOIIM) to enhance the optimization ability of…”
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    Journal Article
  7. 7

    Multi-objective optimal dispatching for a grid-connected micro-grid considering wind power forecasting probability by Sun, Sizhou, Fu, Jingqi, Wei, Lisheng, Li, Ang

    Published in IEEE access (01-01-2020)
    “…In recent years, a large number of wind power has been applied in the micro-grid (MG). Influenced by randomness characteristics of wind speed, the uncertainty…”
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    Journal Article
  8. 8

    A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification by Wei, Lisheng, Wang, Ning, Lu, Huacai

    Published in Complexity (New York, N.Y.) (2021)
    “…In order to improve the iris classification rate, a novel biogeography-based optimization algorithm (NBBO) based on local search and nonuniform variation was…”
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    Journal Article
  9. 9

    Adaptive Fuzzy Command Filtered Finite-Time Tracking Control for Uncertain Nonlinear Multi-Agent Systems with Unknown Input Saturation and Unknown Control Directions by Deng, Xiongfeng, Huang, Yiqing, Wei, Lisheng

    Published in Mathematics (Basel) (01-12-2022)
    “…This paper investigates the finite-time consensus tracking control problem of uncertain nonlinear multi-agent systems with unknown input saturation and unknown…”
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    Journal Article
  10. 10

    Research on Improved BBO Algorithm and Its Application in Optimal Scheduling of Micro-Grid by Zhang, Qian, Wei, Lisheng, Yang, Benben

    Published in Mathematics (Basel) (01-08-2022)
    “…Aiming at the cooperative optimization problem of economy and environmental protection of the traditional microgrid, including micro gas turbine and diesel…”
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    Journal Article
  11. 11

    Improved Biogeography-Based Optimization Algorithm Based on Hybrid Migration and Dual-Mode Mutation Strategy by Wei, Lisheng, Zhang, Qian, Yang, Benben

    Published in Fractal and fractional (01-10-2022)
    “…To obtain high-quality Pareto optimal solutions and to enhance the searchability of the biogeography-based optimization (BBO) algorithm, we present an improved…”
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    Journal Article
  12. 12

    A flexible and visually meaningful multi-image compression, encryption and hiding scheme based on 2D compressive sensing by Huo, Dongming, Zhu, Zhilong, Zhou, Xin, Wei, Lisheng, Bai, Xing, Bai, Yanzhi, Han, Chao

    Published in Heliyon (01-03-2023)
    “…Background: Encrypting plain images into noise-like cipher images is a common method in image encryption. However, when noise-like images appear in public…”
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    Journal Article
  13. 13

    Adaptive Dynamic Surface Control of Strict-Feedback Fractional-Order Nonlinear Systems with Input Quantization and External Disturbances by Zhang, Fan, Deng, Xiongfeng, Wei, Lisheng

    Published in Fractal and fractional (01-12-2022)
    “…In this work, an adaptive dynamic surface control law for a type of strict-feedback fractional-order nonlinear system is proposed. The considered system…”
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    Journal Article
  14. 14

    APF-IRRT: An Improved Informed Rapidly-Exploring Random Trees-Star Algorithm by Introducing Artificial Potential Field Method for Mobile Robot Path Planning by Wu, Daohua, Wei, Lisheng, Wang, Guanling, Tian, Li, Dai, Guangzhen

    Published in Applied sciences (01-11-2022)
    “…An Informed RRT* (IRRT*) algorithm is one of the optimized versions of a Rapidly-exploring Random Trees (RRT) algorithm which finds near-optimal solutions…”
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    Journal Article
  15. 15

    Three-Dimensional Reconstruction of Shoe Soles via Binocular Vision Based on Improved Matching Cost by Wang, Rui, Wei, Lisheng, Gu, Zhengyan, Liu, Xiaohui

    Published in Mathematics (Basel) (01-09-2022)
    “…Aiming at the problem that the toe cap and upper part of the sole of a shoe easily appear missing when using binocular vision to reconstruct the shoe sole in…”
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    Journal Article
  16. 16

    A visually meaningful double-image encryption scheme using 2D compressive sensing and multi-rule DNA encoding by Huo, Dongming, Qiu, Yueyou, Han, Chao, Wei, Lisheng, Hong, Yao, Zhu, Zhilong, Zhou, Xin

    Published in Complex & intelligent systems (01-10-2023)
    “…A visually meaningful double-image encryption scheme using 2D compressive sensing and multi-rule DNA encoding is presented. First, scrambling, diffusing and 2D…”
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    Journal Article
  17. 17

    A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment by Yiqing, Huang, Hui, Wang, Lisheng, Wei, Wengen, Gao, Yuan, Ge

    “…This article presented a cooperative mapping technique using a novel edge gradient algorithm for multiple mobile robots. The proposed edge gradient algorithm…”
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    Journal Article
  18. 18

    Adaptive Neural Tracking Control for Nonstrict-Feedback Nonlinear Systems with Unknown Control Gains via Dynamic Surface Control Method by Deng, Xiongfeng, Yuan, Yiming, Wei, Lisheng, Xu, Binzi, Tao, Liang

    Published in Mathematics (Basel) (01-07-2022)
    “…This paper addresses the tracking control problem of nonstrict-feedback systems with unknown control gains. The dynamic surface control method, Nussbaum gain…”
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    Journal Article
  19. 19

    A visually secure image encryption scheme based on 2D compressive sensing and integer wavelet transform embedding by Huo, Dongming, Zhu, Zhilong, Wei, Lisheng, Han, Chao, Zhou, Xin

    Published in Optics communications (01-08-2021)
    “…Using a certain image encryption algorithm to encrypt plain image into visually meaningless noise image is a common way to protect the security of image data…”
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    Journal Article
  20. 20

    A Detection and Identification Method Based on Machine Vision for Bearing Surface Defects by Gu, Zhengyan, Liu, Xiaohui, Wei, Lisheng

    “…In view of the disadvantages of manual testing of bearing surface defects in the bearing production process, an automatic detection and identification method…”
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    Conference Proceeding