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Neural Computing for Advanced Applications

Second International Conference, NCAA 2021, Guangzhou, China, August 27-30, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Haijun Zhang

    1. Harbin Institute of Technology, Shenzhen, China

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  2. Zhi Yang

    1. Nanfang College of Sun Yat-sen University, Guangzhou, China

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  3. Zhao Zhang

    1. Hefei University of Technology, Hefei, China

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  4. Zhou Wu

    1. Chongqing University, Chongqing, China

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  5. Tianyong Hao

    1. South China Normal University, Guangzhou, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1449)

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Conference proceedings info: NCAA 2021.

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Table of contents (54 papers)

  1. Front Matter

    Pages i-xvi
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  2. Neural Network Theory, Cognitive Sciences, Neuro-System Hardware Implementations, and NN-Based Engineering Applications

    1. Front Matter

      Pages 1-1
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    2. An Optimization Method to Boost the Resilience of Power Networks with High Penetration of Renewable Energies

      • Bingchun Mu, Xi Zhang, Xuefei Mao, Zhen Li
      Pages 3-16

    3. Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations

      • Yuchen Luo, Zhenjie Huang, Kai Zheng, Tianyong Hao
      Pages 17-31

    4. Abnormality Detection and Identification Algorithm for High-Speed Freight Train Body

      • Tongcai Liu, Qing Liu, Zhiwei Wan
      Pages 32-43

    5. Pheromone Based Independent Reinforcement Learning for Multiagent Navigation

      • Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang
      Pages 44-58

    6. A Deep Q-Learning Network Based Reinforcement Strategy for Smart City Taxi Cruising

      • Zhenyao Hua, Dongyang Li, Weian Guo
      Pages 59-70

    7. Weighted Average Consensus in Directed Networks of Multi-agents with Time-Varying Delay

      • Xiang Li, Jing Zhu
      Pages 71-82

    8. An Improved Echo State Network Model for Spatial-Temporal Energy Consumption Prediction in Public Buildings

      • Yuyang Sun, Ji Xu, Ruiqi Jiang, Zhou Wu
      Pages 83-95

    9. Modeling Data Center Networks with Message Passing Neural Network and Multi-task Learning

      • Kai Zhang, Xueyong Xu, Chenchen Fu, Xiumin Wang, Weiwei Wu
      Pages 96-112

  3. Machine Learning, Data Mining, Data Security and Privacy Protection, and Data-Driven Applications

    1. Front Matter

      Pages 113-113
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    2. A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classification

      • Xiumin Li, Jie Yu, Wenqiang Xu
      Pages 115-127

    3. Smoothed Multi-view Subspace Clustering

      • Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang
      Pages 128-140

    4. Sample Reduction Using \(\ell _1\)-Norm Twin Bounded Support Vector Machine

      • Xiaohan Zheng, Li Zhang, Leilei Yan
      Pages 141-153

    5. Spreading Dynamics Analysis for Railway Networks

      • Xingtang Wu, Mingkun Yang, Hongwei Wang, Hairong Dong, Jinhu Lü, Haifeng Song
      Pages 154-165

    6. Learning to Collocate Fashion Items from Heterogeneous Network Using Structural and Textual Features

      • Qiong Yu, Wenjian Xu, Yingji Wu, Haijun Zhang
      Pages 166-180

    7. Building Energy Performance Certificate Labelling Classification Based on Explainable Artificial Intelligence

      • Thamsanqa Tsoka, Xianming Ye, YangQuan Chen, Dunwei Gong, Xiaohua Xia
      Pages 181-196

    8. Cross Languages One-Versus-All Speech Emotion Classifier

      • Xiangrui Liu, Junchi Bin, Huakang Li
      Pages 197-210

    9. A Hybrid Machine Learning Approach for Customer Loyalty Prediction

      • Hiu Fai Lee, Ming Jiang
      Pages 211-226

    10. LDA-Enhanced Federated Learning for Image Classification with Missing Modality

      • Xiaoyan Sun, Xinhao Wang
      Pages 227-241
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  1. Neural Computing for Advanced Applications

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About this book

This book presents refereed proceedings of the Second International Conference Neural Computing for Advanced Applications, NCAA 2021, held in Guangzhou, China, in August, 2021. 

The 54 full papers papers were thorougly reviewed and selected from a total of 144 qualified submissions. The papers are organized in topical sections on neural network theory, cognitive sciences, neuro-system hardware implementations, and NN-based engineering applications; machine learning, data mining, data security and privacy protection, and data-driven applications; neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling; computational intelligence, nature-inspired optimizers, and their engineering applications; fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences; control systems, network synchronization, system integration, and industrial artificial intelligence; computer vision, image processing, and their industrial applications; cloud/edge/fog computing, the Internet of Things/Vehicles(IoT/IoV), and their system optimization; spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).


Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  • Nanfang College of Sun Yat-sen University, Guangzhou, China

    Zhi Yang

  • Hefei University of Technology, Hefei, China

    Zhao Zhang

  • Chongqing University, Chongqing, China

    Zhou Wu

  • South China Normal University, Guangzhou, China

    Tianyong Hao

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