Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries

Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries

Noted as an IGI Global Core Reference Title in Science & Engineering for 2019.

Tetiana Shmelova (National Aviation University, Ukraine), Yuliya Sikirda (Flight Academy of National Aviation University, Ukraine) and Arnold Sterenharz (EXOLAUNCH GmbH, Germany)
Release Date: October, 2019|Copyright: © 2020 |Pages: 517
DOI: 10.4018/978-1-7998-1415-3
ISBN13: 9781799814153|ISBN10: 1799814157|EISBN13: 9781799814177|ISBN13 Softcover: 9781799814160
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Description & Coverage
Description:

With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making.

The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aerospace Systems
  • Artificial Intelligence
  • Automated Systems
  • Aviation Systems
  • Computer-Aided Design
  • Digital Avionics Maintenance
  • Economic Decisions
  • Human Factors
  • Information Technologies
  • Modern Techniques
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