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  • Conference proceedings
  • © 2021

Advances in Artificial Systems for Logistics Engineering

Editors:

  1. Zhengbing Hu

    1. School of Educational Information Technology, Central China Normal University, Wuhan, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Qingying Zhang

    1. Department of Logistics Management, Wuhan Institute of Technology, Wuhan, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Sergey Petoukhov

    1. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

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  4. Matthew He

    1. Halmos College of Natural Sciences, Nova Southeastern University, Plantation, USA

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  • Includes articles from the International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), Kiev, Ukraine, on 22–24 January 2021
  • Discusses topics in advances in artificial systems for logistics engineering
  • Is written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 82)

Conference series link(s): ICAILE: The International Conference on Artificial Intelligence and Logistics Engineering

Conference proceedings info: ICAILE 2021.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-viii
    PDF

  2. Mathematical Advances in Schemes for Logistics Engineering

    1. Front Matter

      Pages 1-1
      PDF

    2. Deep Learning for Grasp-and-Lift Movement Forecasting Based on Electroencephalography by Brain-Computer Interface

      • Yuri Gordienko, Kostiantyn Kostiukevych, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko
      Pages 3-12

    4. RBF-Based Input Doubling Method for Small Medical Data Processing

      • Ivan Izonin, Roman Tkachenko, Solomia Fedushko, Dmytro Koziy, Khrystyna Zub, Olena Vovk
      Pages 23-31

    5. Vehicles and Cargos Two-Sided Matching Based on Similarity Calculation

      • Meng Wang, Qing Xia, Xuejiang Wei
      Pages 32-43

    7. Warehousing Process Mining Research Based on Petri Net

      • Fei Yin, Jingjing Cao, Jie Chu, Shurchkova Olga
      Pages 54-65

    8. Mathematical Methods of Algebraic Biology

      • Georgy K. Tolokonnikov, Sergey V. Petoukhov
      Pages 66-75

    11. Design and Development of Mobile Learning Platform Based on WeChat Mini Programs

      • Kai Zeng, Yuyan Zhang, Yong Liu, Fuan Wen
      Pages 96-106

  3. Advances in Technological and Educational Approaches

    1. Front Matter

      Pages 129-129
      PDF

    2. Deep Learning for Melanoma Detection with Testing Time Data Augmentation

      • Volodymyr Doms, Yuri Gordienko, Yuriy Kochura, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko
      Pages 131-140

    3. Research and Development of Interactive Virtual Disassembly Teaching System Considering Difficulty Gradient

      • Qi Wang, YanFang Yang, Qiang Bai, XiaoShu Zhang, YaHui Xing, ZhiPing Liu
      Pages 141-151

    5. Integrated Operation Mode of Warehousing and Distribution in the O2O Environment

      • Huiling Jian, Chuanlei Wang, Xiaocheng Jiang
      Pages 161-170

    6. A Comparison of Machine Learning Algorithms for Prediction Higher Education Institution’s Entrants Admissions

      • Pavlo Zhezhnych, Khrystyna Zub, Oleksandr Berezko, Anna Shilinh
      Pages 171-179
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Other Volumes

  1. Advances in Artificial Systems for Logistics Engineering

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About this book

This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22–24 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering.

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Keywords

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Editors and Affiliations

  • School of Educational Information Technology, Central China Normal University, Wuhan, China

    Zhengbing Hu

  • Department of Logistics Management, Wuhan Institute of Technology, Wuhan, China

    Qingying Zhang

  • Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  • Halmos College of Natural Sciences, Nova Southeastern University, Plantation, USA

    Matthew He

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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