Advances in Artificial Systems for Medicine and Education

  • Zhengbing Hu
  • Sergey Petoukhov
  • Matthew He

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 658)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Advances in Mathematics and Bio-mathematics

    1. Front Matter
      Pages 1-1
    2. Sergey Petoukhov, Elena Petukhova, Ludmila Hazina, Ivan Stepanyan, Vitaliy Svirin, Tamara Silova
      Pages 2-13
    3. Nikolay A. Balonin, Sergey V. Petoukhov, Mikhail B. Sergeev
      Pages 39-52
    4. Moon Ho Lee, Han Hai, Sung Kook Lee, Sergey V. Petoukhov
      Pages 53-67
    5. Daojun Chen, Nianguang Zhou, Cui Ting, Chenkun Li, Hu Guo, Lei Zhang et al.
      Pages 79-92
    6. LiJin Zhao, Liang Huang, Qiansu Lv, Tao Yang, Daqian Wei
      Pages 120-133
    7. T. Rakcheeva
      Pages 147-155
  3. Advances in Medical Approaches

    1. Front Matter
      Pages 156-156
    2. V. N. Krut`ko, A. M. Bolshakov, V. I. Dontsov, O. A. Mamikonova, A. M. Markova, A. I. Molodchenkov et al.
      Pages 157-165

About these proceedings

Introduction

This book presents an overview of the latest artificial intelligence systems and methods, which have a broad spectrum of effective and sometimes unexpected applications in medical, educational and other fields of sciences and technology. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. The book focuses on the intensive development of bio-mathematical studies on living organism patents, which ensure the noise immunity of genetic information, its quasi-holographic features, and its connection with the Boolean algebra of logic used in technical artificial intelligence systems. In other words, the study of genetic systems and creation of methods of artificial intelligence go hand in hand, mutually enriching enrich each other.

 

These proceedings comprise refereed papers presented at the 1st International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2017), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia on 21–23 August 2017. The topics discussed include advances in thematic mathematics and bio-mathematics; advances in thematica medical approaches; and advances in thematic technological and educational approaches.

 

The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications

 


Keywords

Artificial Intelligence Medical Engineering Education Computational Intelligence AIMEE 2017

Editors and affiliations

  • Zhengbing Hu
    • 1
  • Sergey Petoukhov
    • 2
  • Matthew He
    • 3
  1. 1.School of Educational Information TechnologyCentral China Normal UniversityWuhanChina
  2. 2.Mechanical Engineering Research InstituteRussian Academy of Sciences MoscowRussia
  3. 3.Halmos College of Natural Sciences and OceanographyNova Southeastern UniversityFort LauderdaleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67349-3
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67348-6
  • Online ISBN 978-3-319-67349-3
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book