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Advances in Artificial Systems for Logistics Engineering

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Zhengbing Hu

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

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  2. Qingying Zhang

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

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  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)

Included in the following conference series:

Conference proceedings info: ICAILE 2021.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-viii
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  2. Mathematical Advances in Schemes for Logistics Engineering

    1. Front Matter

      Pages 1-1
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    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

    3. Inland Waterborne Commerce Study Based on Variance Decomposition and Cross-Spectral Analysis

      • Yumeng Xie, Peilin Zhang, Yong Wang
      Pages 13-22

    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

    6. Improving Pedestrian Detection Methods by Architecture and Hyperparameter Modification of Deep Neural Networks

      • Roman Statkevych, Yuri Gordienko, Sergii Stirenko
      Pages 44-53

    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

    9. Forecast and Analysis of Domestic Iron Ore Shipping Pricing Based on BP Neural Network

      • Lu Cao, Meng Wang
      Pages 76-84

    10. On Trilateral Evolutionary Game and Simulation Analysis of College-Enterprise-Government Collaborative Digital Talent Cultivation in the Context of Digital Economy

      • Ping Liu, Wei Ma, Yi Zhang
      Pages 85-95

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

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

    12. A New Fog Enabled Sensor Cloud Platform for Smart Logistics Park

      • XueJiang Wei, Meng Wang
      Pages 107-117

    13. The Location of Company’s Logistics Hub Based on Principal Component Analysis

      • Zhuoni Zhang, Zhengguo Wang
      Pages 118-127

  3. Advances in Technological and Educational Approaches

    1. Front Matter

      Pages 129-129
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    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

    4. Teaching Reform and Empirical Research of Logistics Professional English Based on Super Star Learning APP Platform

      • Jinling Xia, Jingjing Wu
      Pages 152-160

    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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  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.

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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