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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Hongying Meng

    1. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

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  2. Tao Lei

    1. School of Electronical Information and Artificial Engineering, Shaanxi University of Science and Technology, Xi’an, China

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  3. Maozhen Li

    1. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

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  4. Kenli Li

    1. College of Electrical and Information, Hunan University, Changsha, China

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  5. Ning Xiong

    1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

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  6. Lipo Wang

    1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

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  • Discusses recent advances in natural computation, fuzzy systems, and knowledge discovery
  • Presents the proceedings of the 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi’an, China, from 1 to 3 August 2020
  • Written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 88)

Included in the following conference series:

Conference proceedings info: ICNC-FSKD 2020.

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Table of contents (207 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Derivation of Multitemporal Kauth-Thoms Transformation for GF-2 mIHS Pansharpening Digital Number Data

    • Qingsheng Liu
    Pages 1-7

  3. Quasi-circular Vegetation Patch Mapping with Multitemporal Kauth-Thomas Transformation of the mIHS Pansharpened GF-2 Images

    • Qingsheng Liu
    Pages 8-15

  4. Prediction of Hot Events Forwarding Based on Variable-Order SEIR Infectious Disease Model

    • Qiujuan Tong, Wentao Suo, Linna Li, Ruining Dong
    Pages 16-24

  5. Research on Innovation of Chinese Medicine Prescriptions Based on Fuzzy Clustering and Fuzzy Pattern Recognition

    • Songhua Xie, Hui Nie
    Pages 25-34

  6. A Conceptual Professional Assessment Model Based RDF Data Crowdsourcing

    • Zhenzhen Liu, Li Huang, Lu Yang, Qiyuan Li
    Pages 35-47

  7. MAHS: A System for Mining and Analysing Hot-Spots from Bike-Sharing Data

    • Yage Wang, Dong Ma, Hongmei Chen, Lihua Zhou
    Pages 48-53

  8. The Construction of Integrated Product Development Framework in Aviation Manufacturing Enterprise

    • Jun-hua Zhang, Qing-hong Le
    Pages 54-60

  9. Multi-label Learning with Missing Labels Based on Instance-Wise and Label-Wise Correlations for Image Classification

    • Weisheng Li, Yuexin Zhu, Ying Lu
    Pages 61-69

  10. Policy System and Market Mechanism Suggestion of Energy Storage Industry in China

    • Qiyuan Wang, Fangyuan Pan, Jing Zhu, Xuhuan Zou
    Pages 70-77

  11. Insights into Markets for Technology in China: Evidence from Patent Trades

    • Hongping Du, Maoyan She, Ruifeng Hu
    Pages 78-88

  12. Cloud Task Prediction Model Based on Singular Spectrum Analysis, Empirical Mode Decomposition and Temporal Convolutional Network

    • Tao Lin, Zhangxiao Hao, Dongmei Su
    Pages 89-97

  13. Mining High Utility Itemsets Using Ant Colony Optimization

    • Wei Song, Jiakai Nan
    Pages 98-107

  14. A Hierarchical Scene Text Detector Concerning Hard Examples

    • Jun Yang, Zhaogong Zhang, Jianzhong Li
    Pages 108-115

  15. Edge Guided Loss in Image Inpainting

    • Siyuan Li, Lu Lu, KePeng Xu, Wenxin Yu, Ning Jiang, Gang He et al.
    Pages 116-123

  16. Speech Enhancement Based on Deep Neural Network and Recurrent Neural Network

    • Yufei Zhang, Jiaju Wu
    Pages 124-130

  17. Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism

    • Kehua Yang, Yin Jie, Wei Zhang, Jing Liu
    Pages 131-140

  18. Fractional STIR Epidemic Model for Opinion Dissemination in Social Networks

    • Qiujuan Tong, Ruining Dong, Jianke Zhang, Xiaobao Yang
    Pages 141-151

  19. Heterogeneous-Aware Online Cloud Task Scheduler Based on Clustering and Deep Reinforcement Learning Ensemble

    • Dan Gu, Jing Chen, Xiaoyu Shi, Longyu Ran, Ying Zhang, Mingsheng Shang
    Pages 152-159

  20. High-Low Spatial Frequency Feature for Siamese Network Visual Tracking

    • Weisheng Li, Weifan Wu, Chen Lai
    Pages 160-169
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  1. Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Keywords

About this book

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.

Editors and Affiliations

  • College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Hongying Meng, Maozhen Li

  • School of Electronical Information and Artificial Engineering, Shaanxi University of Science and Technology, Xi’an, China

    Tao Lei

  • College of Electrical and Information, Hunan University, Changsha, China

    Kenli Li

  • Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

    Ning Xiong

  • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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