Handbook of research on artificial intelligence applications in the aviation and aerospace industries:
"This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2020]
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-706 DE-83 DE-898 Volltext |
| Zusammenfassung: | "This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"-- |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781799814177 |
| DOI: | 10.4018/978-1-7998-1415-3 |
Internformat
MARC
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| 245 | 1 | 0 | |a Handbook of research on artificial intelligence applications in the aviation and aerospace industries |c Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenharz |
| 246 | 1 | 3 | |a Artificial intelligence applications in the aviation and aerospace industries |
| 264 | 1 | |a Hershey, PA |b IGI Global |c [2020] | |
| 300 | |a 1 Online-Ressource | ||
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| 505 | 8 | |a Chapter 1. Artificial intelligence in aviation industries: methodologies, education, applications, and opportunities -- Chapter 2. Rational adaptation of control systems for the autonomous aircraft motion -- Chapter 3. Intelligent automated system for supporting the collaborative decision making by operators of the air navigation system during flight emergencies -- Chapter 4. Cooperative decision making under air traffic conflicts detection and resolution -- Chapter 5. Application of deep learning in the processing of the aerospace system's multispectral images -- Chapter 6. Intelligence-based operation of aviation radioelectronic equipment -- Chapter 7. Applications of artificial intelligence in flight management systems -- Chapter 8. Application SMART for small unmanned aircraft system of systems -- Chapter 9. The method of evaluation of the resource of complex technical objects, in particular, aviation -- | |
| 505 | 8 | |a Chapter 10. Computer-aided design of intelligent control system of stabilizing platforms with airborne instrumentation -- Chapter 11. Correction of the temperature component of error of piezoelectric acceleration sensor -- Chapter 12. Research of the reliability of the electrical supply system of airports and aerodromes using neural networks -- Chapter 13. Artificial intelligence methods in aviation specialist training for the analysis and transmission of operational meteorological information -- Chapter 14. Methods for the synthesis of optimal control of deterministic compound dynamical systems with branch -- Chapter 15. Intellectual measuring complex for control of geometrical parameters of aviation details: differential-digital method of measurement of aircraft parts of complex geometric form -- Chapter 16. Methods for assessing the glissade entrance quality by the crew -- Chapter 17. Basic analytics of anti-failure avionics -- | |
| 505 | 8 | |a Chapter 18. Perspective directions of artificial intelligence systems in aircraft load optimization process -- Chapter 19. Methods and techniques of effective management of complexity in aviation -- Chapter 20. Ensuring the guaranteed level of flight safety: the view of the future | |
| 520 | |a "This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"-- | ||
| 650 | 4 | |a Aeronautics / Technological innovations | |
| 650 | 4 | |a Aircraft industry / Data processing | |
| 650 | 4 | |a Aerospace industries / Data processing | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 7 | |a Aeronautics / Technological innovations |2 fast | |
| 650 | 7 | |a Aerospace industries / Data processing |2 fast | |
| 650 | 7 | |a Aircraft industry / Data processing |2 fast | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
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| 700 | 1 | |a Sterenharz, Arnold |d 1953- |0 (DE-588)120175190X |4 edt | |
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Datensatz im Suchindex
| _version_ | 1805076706189377536 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Shmelova, Tetiana 1961- Sikirda, Yuliya 1978- Sterenharz, Arnold 1953- |
| author2_role | edt edt edt |
| author2_variant | t s ts y s ys a s as |
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| building | Verbundindex |
| bvnumber | BV046271232 |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Artificial intelligence in aviation industries: methodologies, education, applications, and opportunities -- Chapter 2. Rational adaptation of control systems for the autonomous aircraft motion -- Chapter 3. Intelligent automated system for supporting the collaborative decision making by operators of the air navigation system during flight emergencies -- Chapter 4. Cooperative decision making under air traffic conflicts detection and resolution -- Chapter 5. Application of deep learning in the processing of the aerospace system's multispectral images -- Chapter 6. Intelligence-based operation of aviation radioelectronic equipment -- Chapter 7. Applications of artificial intelligence in flight management systems -- Chapter 8. Application SMART for small unmanned aircraft system of systems -- Chapter 9. The method of evaluation of the resource of complex technical objects, in particular, aviation -- Chapter 10. Computer-aided design of intelligent control system of stabilizing platforms with airborne instrumentation -- Chapter 11. Correction of the temperature component of error of piezoelectric acceleration sensor -- Chapter 12. Research of the reliability of the electrical supply system of airports and aerodromes using neural networks -- Chapter 13. Artificial intelligence methods in aviation specialist training for the analysis and transmission of operational meteorological information -- Chapter 14. Methods for the synthesis of optimal control of deterministic compound dynamical systems with branch -- Chapter 15. Intellectual measuring complex for control of geometrical parameters of aviation details: differential-digital method of measurement of aircraft parts of complex geometric form -- Chapter 16. Methods for assessing the glissade entrance quality by the crew -- Chapter 17. Basic analytics of anti-failure avionics -- Chapter 18. Perspective directions of artificial intelligence systems in aircraft load optimization process -- Chapter 19. Methods and techniques of effective management of complexity in aviation -- Chapter 20. Ensuring the guaranteed level of flight safety: the view of the future |
| ctrlnum | (OCoLC)1129402415 (DE-599)BVBBV046271232 |
| doi_str_mv | 10.4018/978-1-7998-1415-3 |
| format | Electronic eBook |
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| id | DE-604.BV046271232 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:01:33Z |
| institution | BVB |
| isbn | 9781799814177 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031649036 |
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| publisher | IGI Global |
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| spelling | Handbook of research on artificial intelligence applications in the aviation and aerospace industries Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenharz Artificial intelligence applications in the aviation and aerospace industries Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Chapter 1. Artificial intelligence in aviation industries: methodologies, education, applications, and opportunities -- Chapter 2. Rational adaptation of control systems for the autonomous aircraft motion -- Chapter 3. Intelligent automated system for supporting the collaborative decision making by operators of the air navigation system during flight emergencies -- Chapter 4. Cooperative decision making under air traffic conflicts detection and resolution -- Chapter 5. Application of deep learning in the processing of the aerospace system's multispectral images -- Chapter 6. Intelligence-based operation of aviation radioelectronic equipment -- Chapter 7. Applications of artificial intelligence in flight management systems -- Chapter 8. Application SMART for small unmanned aircraft system of systems -- Chapter 9. The method of evaluation of the resource of complex technical objects, in particular, aviation -- Chapter 10. Computer-aided design of intelligent control system of stabilizing platforms with airborne instrumentation -- Chapter 11. Correction of the temperature component of error of piezoelectric acceleration sensor -- Chapter 12. Research of the reliability of the electrical supply system of airports and aerodromes using neural networks -- Chapter 13. Artificial intelligence methods in aviation specialist training for the analysis and transmission of operational meteorological information -- Chapter 14. Methods for the synthesis of optimal control of deterministic compound dynamical systems with branch -- Chapter 15. Intellectual measuring complex for control of geometrical parameters of aviation details: differential-digital method of measurement of aircraft parts of complex geometric form -- Chapter 16. Methods for assessing the glissade entrance quality by the crew -- Chapter 17. Basic analytics of anti-failure avionics -- Chapter 18. Perspective directions of artificial intelligence systems in aircraft load optimization process -- Chapter 19. Methods and techniques of effective management of complexity in aviation -- Chapter 20. Ensuring the guaranteed level of flight safety: the view of the future "This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"-- Aeronautics / Technological innovations Aircraft industry / Data processing Aerospace industries / Data processing Artificial intelligence Aeronautics / Technological innovations fast Aerospace industries / Data processing fast Aircraft industry / Data processing fast Artificial intelligence fast Luft- und Raumfahrtindustrie (DE-588)4048576-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Technische Innovation (DE-588)4431027-4 gnd rswk-swf Luft- und Raumfahrtindustrie (DE-588)4048576-6 s Technische Innovation (DE-588)4431027-4 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Shmelova, Tetiana 1961- (DE-588)1200241177 edt Sikirda, Yuliya 1978- (DE-588)1201903602 edt Sterenharz, Arnold 1953- (DE-588)120175190X edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-1415-3 Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-1416-0 https://doi.org/10.4018/978-1-7998-1415-3 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Handbook of research on artificial intelligence applications in the aviation and aerospace industries Chapter 1. Artificial intelligence in aviation industries: methodologies, education, applications, and opportunities -- Chapter 2. Rational adaptation of control systems for the autonomous aircraft motion -- Chapter 3. Intelligent automated system for supporting the collaborative decision making by operators of the air navigation system during flight emergencies -- Chapter 4. Cooperative decision making under air traffic conflicts detection and resolution -- Chapter 5. Application of deep learning in the processing of the aerospace system's multispectral images -- Chapter 6. Intelligence-based operation of aviation radioelectronic equipment -- Chapter 7. Applications of artificial intelligence in flight management systems -- Chapter 8. Application SMART for small unmanned aircraft system of systems -- Chapter 9. The method of evaluation of the resource of complex technical objects, in particular, aviation -- Chapter 10. Computer-aided design of intelligent control system of stabilizing platforms with airborne instrumentation -- Chapter 11. Correction of the temperature component of error of piezoelectric acceleration sensor -- Chapter 12. Research of the reliability of the electrical supply system of airports and aerodromes using neural networks -- Chapter 13. Artificial intelligence methods in aviation specialist training for the analysis and transmission of operational meteorological information -- Chapter 14. Methods for the synthesis of optimal control of deterministic compound dynamical systems with branch -- Chapter 15. Intellectual measuring complex for control of geometrical parameters of aviation details: differential-digital method of measurement of aircraft parts of complex geometric form -- Chapter 16. Methods for assessing the glissade entrance quality by the crew -- Chapter 17. Basic analytics of anti-failure avionics -- Chapter 18. Perspective directions of artificial intelligence systems in aircraft load optimization process -- Chapter 19. Methods and techniques of effective management of complexity in aviation -- Chapter 20. Ensuring the guaranteed level of flight safety: the view of the future Aeronautics / Technological innovations Aircraft industry / Data processing Aerospace industries / Data processing Artificial intelligence Aeronautics / Technological innovations fast Aerospace industries / Data processing fast Aircraft industry / Data processing fast Artificial intelligence fast Luft- und Raumfahrtindustrie (DE-588)4048576-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Technische Innovation (DE-588)4431027-4 gnd |
| subject_GND | (DE-588)4048576-6 (DE-588)4033447-8 (DE-588)4431027-4 |
| title | Handbook of research on artificial intelligence applications in the aviation and aerospace industries |
| title_alt | Artificial intelligence applications in the aviation and aerospace industries |
| title_auth | Handbook of research on artificial intelligence applications in the aviation and aerospace industries |
| title_exact_search | Handbook of research on artificial intelligence applications in the aviation and aerospace industries |
| title_full | Handbook of research on artificial intelligence applications in the aviation and aerospace industries Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenharz |
| title_fullStr | Handbook of research on artificial intelligence applications in the aviation and aerospace industries Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenharz |
| title_full_unstemmed | Handbook of research on artificial intelligence applications in the aviation and aerospace industries Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenharz |
| title_short | Handbook of research on artificial intelligence applications in the aviation and aerospace industries |
| title_sort | handbook of research on artificial intelligence applications in the aviation and aerospace industries |
| topic | Aeronautics / Technological innovations Aircraft industry / Data processing Aerospace industries / Data processing Artificial intelligence Aeronautics / Technological innovations fast Aerospace industries / Data processing fast Aircraft industry / Data processing fast Artificial intelligence fast Luft- und Raumfahrtindustrie (DE-588)4048576-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Technische Innovation (DE-588)4431027-4 gnd |
| topic_facet | Aeronautics / Technological innovations Aircraft industry / Data processing Aerospace industries / Data processing Artificial intelligence Luft- und Raumfahrtindustrie Künstliche Intelligenz Technische Innovation |
| url | https://doi.org/10.4018/978-1-7998-1415-3 |
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