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Advances in Artificial Systems for Medicine and Education II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Zhengbing Hu

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

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  2. Sergey V. Petoukhov

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Matthew He

    1. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Davie, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest research and open issues in artificial intelligence, medical engineering and education
  • Includes the proceedings of the International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, 6–8 October 2018
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 902)

Included in the following conference series:

Conference proceedings info: AIMEE2018 2018.

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Table of contents (70 papers)

  1. Front Matter

    Pages i-xix
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  2. Advances in Mathematics and Bio-mathematics

    1. Front Matter

      Pages 1-1
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    2. The Technology for Development of Decision-Making Support Services with Components Reuse

      • Valeriya Gribova, Alexander Kleschev, Philip Moskalenko, Vadim Timchenko, Elena Shalfeeva
      Pages 3-13

    3. A Life Ecosystem Management with DNA Base Complementarity

      • Moon Ho Lee, Sung Kook Lee, K. M. Cho
      Pages 15-23

    4. Standard Genetic Code and Golden Ratio Cubes

      • Matthew He, Z. B. Hu, Sergey V. Petoukhov
      Pages 25-36

    5. The Technique for Data Parallelism in Neural Processing Units

      • Vitaliy A. Romanchuk, Ruslan I. Bazhenov
      Pages 37-45

    6. Algebra for Transforming Genetic Codes Based on Matrices Applied in Quantum Field Theories

      • György Darvas, Sergey V. Petoukhov
      Pages 47-55

    7. Development of Methods for Solving Ill-Posed Inverse Problems in Processing Multidimensional Signals in Problems of Artificial Intelligence, Radiolocation and Medical Diagnostics

      • Alexander A. Potapov, Andrey A. Pakhomov, Vladimir I. Grachev
      Pages 57-67

    8. Numerical Approach to Solving the Problem of Choosing the Rational Values of Parameters of Dynamic Systems

      • I. N. Statnikov, G. I. Firsov
      Pages 69-79

    9. Algorithms for Topological Analysis of Spatial Data

      • Sergey Eremeev, Ekaterina Seltsova
      Pages 81-92

    10. Code Biology and Kolmogorov Complexity

      • Sergei V. Kozyrev
      Pages 93-101

    11. On Genetic Unitary Matrices and Quantum-Algorithmic Genetics

      • Sergey V. Petoukhov, Elena S. Petukhova
      Pages 103-115

    12. Genetic Code Modelling from the Perspective of Quantum Informatics

      • Elena Fimmel, Sergey V. Petoukhov
      Pages 117-125

    13. Focal Model in the Pattern Recognition Problem

      • T. Rakcheeva
      Pages 127-138

    14. Experimental Detection of the Parallel Organization of Mental Calculations of a Person on the Basis of Two Algebras Having Different Associativity

      • A. V. Koganov, T. A. Rakcheeva
      Pages 139-149

    15. Determinant Optimization Method

      • Nikolay A. Balonin, Mikhail B. Sergeev
      Pages 151-160

    16. Analysis of Oscillator Ensemble with Dynamic Couplings

      • M. M. Gourary, S. G. Rusakov
      Pages 161-172

    17. The Genetic Language: Natural Algorithms, Developmental Patterns, and Instinctive Behavior

      • Nikita E. Shklovskiy-Kordi, Victor K. Finn, Lev I. Ehrlich, Abir U. Igamberdiev
      Pages 173-182

  3. Advances in Medical Approaches

    1. Front Matter

      Pages 183-183
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    2. Planck–Shannon Classifier: A Novel Method to Discriminate Between Sonified Raman Signals from Cancer and Healthy Cells

      • Sungchul Ji, Beum Jun Park, John Stuart Reid
      Pages 185-195
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  1. Advances in Artificial Systems for Medicine and Education II

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About this book

This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6–8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment. The book is intended for specialists, students and other readers who would like to know where artificial intelligence systems can beneficially be applied in the future.

Editors and Affiliations

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

    Zhengbing Hu

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

    Sergey V. Petoukhov

  • Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Davie, USA

    Matthew He

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