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Advances in Artificial Systems for Logistics Engineering

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Zhengbing Hu

    1. School of Computer Science, Hubei University of Technology, Wuhan, China

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  2. Qingying Zhang

    1. College of Transportation and Logistics Engineering, Wuhan University 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 Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, USA

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  • Includes articles from the International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022)
  • Discusses topics in advances in artificial systems for logistics engineering
  • Covers topics such as artificial intelligence, engineering methodologies, and genetic coding systems

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 135)

Included in the following conference series:

Conference proceedings info: ICAILE 2022.

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Table of contents (64 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Accelerating Simulation of the PDE Solution by the Structure of the Convolutional Neural Network Modifying

      • Valentyn Kuzmych, Mykhailo Novotarskyi
      Pages 3-15

    3. Combined Machine Learning Model for Covid-19 Analysis and Forecasting in Ukraine

      • Olena Pavliuk, Anastasiia-Olha Strontsitska
      Pages 16-26

    4. Power Consumption Analysis at MAC-Sublayer of Wireless Sensor Networks

      • Olha Bilyk, Kvitoslava Obelovska
      Pages 27-36

    5. Optimal Control with Prediction for the Process of Vacuum Membrane Distillation

      • Bogdan Korniyenko, Lesya Ladieva, Oleg Bereza
      Pages 37-50

    6. Improved Quantum Genetic Algorithm on Multilevel Quantum Systems for 0-1 Knapsack Problem

      • Valerii Tkachuk, Mykola Kozlenko
      Pages 51-70

    7. Edge Intelligence for Medical Applications Under Field Conditions

      • Vlad Taran, Yuri Gordienko, Oleksandr Rokovyi, Oleg Alienin, Yuriy Kochura, Sergii Stirenko
      Pages 71-80

    8. Multipath Routing in Intelligent Transport Networks

      • Yurii Kulakov, Alla Kohan, Yuliia Hrabovenko
      Pages 81-90

    9. Artificial Intelligence Platform for Distant Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) of Human Diseases

      • Oleg Alienin, Oleksandr Rokovyi, Yuri Gordienko, Yuriy Kochura, Vlad Taran, Sergii Stirenko
      Pages 91-100

    10. Modification of the LSB Implementation Method of Digital Watermarks

      • Bohdana Havrysh, Oleksandr Tymchenko, Ivan Izonin
      Pages 101-111

    11. Datalogical Model of Dialogue Script

      • Anatolii Verlan, Igor Chimir
      Pages 112-122

    12. Modified Method of Cryptocurrency Exchange Rate Forecasting Based on ARIMA Class Models with Data Verification

      • Anastasiia Holiachenko, Lesya Lyushenko, Oleksii Strutsynsky
      Pages 123-136

    13. Electrocardiogram Effective Analysis Based on the Random Forest Model with Preselected Parameters

      • Taras Panchenko, Andrii Yavorskyi, Zhengbing Hu
      Pages 137-145

    14. Digital Technology: Emerging Issue for Agriculture

      • Maryna Nehrey, Larysa Zomchak
      Pages 146-156

    15. Neural Network Method of Items Catalog Forming for Online Store

      • Ivan Kit, Hrystyna Lipyanina-Goncharenko, Taras Lendyuk, Anatoliy Sachenko, Myroslav Komar
      Pages 157-169

    16. Methods of Constructing a Lighting Control System for Wireless Sensor Network “Smart Home”

      • Andriy Dudnik, Serhii Dorozhynskyi, Sergii Grinenko, Oleksandr Usachenko, Borys Vorovych, Olexander Grinenko
      Pages 170-179

    17. Material Planning with Hybrid Weed Invasion Algorithm Under Cutting Problem Constraints

      • Wenjie Xie
      Pages 180-190

  3. Advances in Technological and Educational Approaches

    1. Front Matter

      Pages 191-191
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    2. Teaching Reform of Supply Chain Management Based on the Concept of Autonomous Learning

      • Zaitao Wang, Ting Zhao
      Pages 193-203
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  1. Advances in Artificial Systems for Logistics Engineering

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About this book

The book comprises high-quality refereed research papers presented at the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on February 20–22, 2022, organized jointly by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," Wuhan University of Technology, Nanning University, National Aviation University, 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 its applications in logistics engineering.

Editors and Affiliations

  • School of Computer Science, Hubei University of Technology, Wuhan, China

    Zhengbing Hu

  • College of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

    Qingying Zhang

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

    Sergey Petoukhov

  • Halmos College of Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, USA

    Matthew He

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