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Advances in Intelligent Automation and Soft Computing

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Xiaolong Li

    1. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, USA

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  • Includes recent research on Intelligent Automation and Soft Computing
  • Presents the selected papers from the 2021 International Conference on Intelligent Automation and Soft Computing, IASC-2021, held in Chicago on May 26–28, 2021
  • Includes contributions from diverse areas of fuzzy system, soft computing, adaptive control, intelligent automation, AI algorithm, and intelligent systems and technologies for healthcare and rehabilitation
  • Written by leading experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 80)

Included in the following conference series:

Conference proceedings info: IASC 2021.

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Table of contents (148 papers)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. AI Algorithms and Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Application of the Optimal Integrated Medical Intelligence System to Strengthen Physical Immunity

      • Seong-Ran Lee
      Pages 3-7

    3. Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms

      • Peng Li, Jia Liu
      Pages 8-15

    4. Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm

      • Diyou Zhang, Rui Chi, Jun Li, Xuexin Chi, Taitang Zhu
      Pages 16-21

    5. A Novel Indoor Object Detection Algorithm Under Complex Conditions

      • Lichao Ma, Licong Guan, Yang Liu
      Pages 22-30

    6. Periodic Dynamic Event-Triggered Cluster Formation Control of Multi-agent Systems

      • Jiangang Zhao, Guanglei Zhao
      Pages 31-39

    7. Smart Flower Cultivation System

      • Quan Lin, Wei Zhou, Pingfan Li, Heng Xie, Ruohang Su
      Pages 40-47

    8. Software Reliability Model Related to Total Number of Faults Under Imperfect Debugging

      • Ce Zhang, Yufei Yuan, Wenqian Jiang, Zhichao Sun, Ye Ding, Miaomiao Fan et al.
      Pages 48-60

    9. Virtual Cluster Model Based on Big Data Application

      • Jin Wang
      Pages 61-66

    10. Optimization of AMR Local Turning Path Based on Double Line Constraint

      • Ma Lei, Yanming Quan, Yifan Jiang
      Pages 67-75

    11. An Improved Lion Swarm Algorithm Based on Reinforcement Learning

      • Zixiang Dai, Mingyan Jiang
      Pages 76-86

    12. Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology

      • Baixue Fu, Wei Wang, Yongmei Wang, Qingyuan Su
      Pages 87-95

    13. Discovering the Coopetition Relationship Between Agents Using Clustering

      • Haibo Li, Yongbo Yu, Xiang Chen, Hao Xie, Gengqian Wei, Sina Xu
      Pages 96-101

    14. Study on the Change of POI Attraction Based on Taxi Trajectory

      • Longzhang Zeng, Yizhi Liu, Rutian Qing, Keyi Zhong, Min Liu, Zhuhua Liao et al.
      Pages 102-110

    15. Can “Neuromorphic Completeness” and “Brain-Inspired Computing” Provide a Promising Platform for Artificial General Intelligence?

      • Jingde Cheng
      Pages 111-119

    16. An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method

      • Yongjun Zhang, Yufu Ning, Huan Zhang
      Pages 120-128

    17. Support Technology of Weapon Equipment Selection Based on Question and Answer

      • Mengmeng Zeng, Jia Hao, Yan Yan, Lei Zhao, Zhicheng Zhu, Jianjun Lin
      Pages 129-141

    18. Algorithm Design of Semantic Map Construction for Dynamic Scene

      • Fengyu Zheng, Xiaoning Wang, Fuming Xia, Zhen Shi
      Pages 142-153

    19. Damping Effect of a Controlled Nonlinear Meso-Scale Beam Under Periodic Excitation

      • Zuguang Ying, Yiqing Ni, Zhigang Ruan
      Pages 154-165
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  1. Advances in Intelligent Automation and Soft Computing

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About this book

This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021).  Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. 

 


Editors and Affiliations

  • Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, USA

    Xiaolong Li

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