Advances in Computer Science for Engineering and Education: 134 1st ed. 2022 Edition

Advances in Computer Science for Engineering and Education: 134 1st ed. 2022 Edition book cover

Advances in Computer Science for Engineering and Education: 134 1st ed. 2022 Edition

Author(s): Zhengbing Hu (Editor), Ivan Dychka (Editor), Sergey Petoukhov (Editor), Matthew He (Editor)

  • Publisher: Springer
  • Publication Date: 28 April 2022
  • Edition: 1st ed. 2022
  • Language: English
  • Print length: 554 pages
  • ISBN-10: 3031048113
  • ISBN-13: 9783031048111

Book Description

This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21–22, 2022, and was organized by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” National Aviation University, and the International Research Association of Modern Education and Computer Science. State-of-the-art studies in computer science, artificial intelligence, engineering methodologies, genetic coding systems, deep learning with medical applications, and knowledge representation with educational applications are among the topics covered in the book. For academics, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and education, this book is a valuable resource.

Editorial Reviews

From the Back Cover

This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21–22, 2022, and was organized by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” National Aviation University, and the International Research Association of Modern Education and Computer Science. State-of-the-art studies in computer science, artificial intelligence, engineering methodologies, genetic coding systems, deep learning with medical applications, and knowledge representation with educational applications are among the topics covered in the book. For academics, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and education, this book is a valuable resource.

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