New innovations in AI, aviation, and air traffic technology:
"The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient ope...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress.New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry."-- |
| Beschreibung: | 34 PDFs (559 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369319550 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a New innovations in AI, aviation, and air traffic technology |c Saifullah Khalid, Neha Nazneen Siddiqui, editors. |
| 246 | 3 | |a New innovations in artificial intelligence, aviation, and air traffic technology | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 34 PDFs (559 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Artificial intelligence and machine learning. Chapter 1. Artificial intelligence and the future of renewable energy: solar PV power forecasting ; Chapter 2. Review on machine and deep learning techniques: challenges and applications ; Chapter 3. AI solutions for delay reduction in the civil aviation industry: a comprehensive review ; Chapter 4. Transforming aviation: the role of artificial intelligence in air traffic management -- Section 2. Digital transformation and technology readiness. Chapter 5. The investigation of the relationship between technology readiness and technological resistance: the case of Istanbul airport ; Chapter 6. Remote control tower: state of the art, challenges, and future trends -- Section 3. Uavs and drone technology. Chapter 7. Comparative analysis of UAVs: a study on payload capacity and performance ; Chapter 8. UAV path planning: challenges, strategies, and future directions ; Chapter 9. A comprehensive analysis of drone regulations in India and the European union -- Section 4. Aviation infrastructure, operations, and advanced technologies in aerospace. Chapter 10. Advancing aerospace inspection with terahertz technology ; Chapter 11. Role of aviation infrastructure in aviation operation -- Section 5. Workplace dynamics and employee satisfaction in aviation. Chapter 12. Understanding work-life balance in the aviation industry: a comparative analysis of jet airways and indigo ; Chapter 13. Navigating the skies of success in aircraft manufacturing companies' market takeover strategies ; Chapter 14. Revisiting digital India 2.0: exploring new horizon and insights ; Chapter 15. Challenges and roadblocks in navigating the luxury car strategy in charter aviation ; Chapter 16. Optimising motivation and retention of airline employees through the application of Herzberg's two-factor theory ; Chapter 17. Impact of workplace conflict on job satisfaction of civil aviation authority ; Chapter 18. Navigating turbulence: understanding and resolving workplace conflicts in the aviation sector -- Section 6. Power quality and compensation. Chapter 19. Load-based compensation using active power filters: a comprehensive review ; Chapter 20. Enhancing power quality: shunt active power filter with adaptive lizard algorithm for harmonic reduction. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress.New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 07/22/2024). | ||
| 650 | 0 | |a Air traffice control |x Technological innovations. | |
| 650 | 0 | |a Airports |x Traffic control. | |
| 650 | 0 | |a Artificial intelligence. | |
| 653 | |a Air Traffic Technology. | ||
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Aviation. | ||
| 653 | |a Big Data. | ||
| 653 | |a Biomedical Engineering. | ||
| 653 | |a Computer Vision. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Economic Dependency of Employees in the Aviation Sector. | ||
| 653 | |a Employee Loyalty in the Aviation Sector. | ||
| 653 | |a Employee Motivation in the Aviation Sector. | ||
| 653 | |a Employee Retention in the Aviation Sector. | ||
| 653 | |a Image Processing. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Optimization Algorithms. | ||
| 653 | |a Sustainable Energy. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Khalid, Saifullah |e editor. | |
| 700 | 1 | |a Siddiqui, Neha Nazneen |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369319543 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1954-3 |3 Volltext |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00330978 |
|---|---|
| _version_ | 1826942602724769792 |
| adam_text | |
| any_adam_object | |
| author2 | Khalid, Saifullah Siddiqui, Neha Nazneen |
| author2_role | edt edt |
| author2_variant | s k sk n n s nn nns |
| author_facet | Khalid, Saifullah Siddiqui, Neha Nazneen |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TL725 |
| callnumber-raw | TL725.3.T7 N49 2024e |
| callnumber-search | TL725.3.T7 N49 2024e |
| callnumber-sort | TL 3725.3 T7 N49 42024E |
| callnumber-subject | TL - Motor Vehicles and Aeronautics |
| collection | ZDB-98-IGB |
| contents | Section 1. Artificial intelligence and machine learning. Chapter 1. Artificial intelligence and the future of renewable energy: solar PV power forecasting ; Chapter 2. Review on machine and deep learning techniques: challenges and applications ; Chapter 3. AI solutions for delay reduction in the civil aviation industry: a comprehensive review ; Chapter 4. Transforming aviation: the role of artificial intelligence in air traffic management -- Section 2. Digital transformation and technology readiness. Chapter 5. The investigation of the relationship between technology readiness and technological resistance: the case of Istanbul airport ; Chapter 6. Remote control tower: state of the art, challenges, and future trends -- Section 3. Uavs and drone technology. Chapter 7. Comparative analysis of UAVs: a study on payload capacity and performance ; Chapter 8. UAV path planning: challenges, strategies, and future directions ; Chapter 9. A comprehensive analysis of drone regulations in India and the European union -- Section 4. Aviation infrastructure, operations, and advanced technologies in aerospace. Chapter 10. Advancing aerospace inspection with terahertz technology ; Chapter 11. Role of aviation infrastructure in aviation operation -- Section 5. Workplace dynamics and employee satisfaction in aviation. Chapter 12. Understanding work-life balance in the aviation industry: a comparative analysis of jet airways and indigo ; Chapter 13. Navigating the skies of success in aircraft manufacturing companies' market takeover strategies ; Chapter 14. Revisiting digital India 2.0: exploring new horizon and insights ; Chapter 15. Challenges and roadblocks in navigating the luxury car strategy in charter aviation ; Chapter 16. Optimising motivation and retention of airline employees through the application of Herzberg's two-factor theory ; Chapter 17. Impact of workplace conflict on job satisfaction of civil aviation authority ; Chapter 18. Navigating turbulence: understanding and resolving workplace conflicts in the aviation sector -- Section 6. Power quality and compensation. Chapter 19. Load-based compensation using active power filters: a comprehensive review ; Chapter 20. Enhancing power quality: shunt active power filter with adaptive lizard algorithm for harmonic reduction. |
| ctrlnum | (CaBNVSL)slc00006185 (OCoLC)1450143346 |
| dewey-full | 629.1366 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.1366 |
| dewey-search | 629.1366 |
| dewey-sort | 3629.1366 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Verkehr / Transport |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00330978 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:37Z |
| institution | BVB |
| isbn | 9798369319550 |
| language | English |
| oclc_num | 1450143346 |
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| physical | 34 PDFs (559 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
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| spelling | New innovations in AI, aviation, and air traffic technology Saifullah Khalid, Neha Nazneen Siddiqui, editors. New innovations in artificial intelligence, aviation, and air traffic technology Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 34 PDFs (559 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Artificial intelligence and machine learning. Chapter 1. Artificial intelligence and the future of renewable energy: solar PV power forecasting ; Chapter 2. Review on machine and deep learning techniques: challenges and applications ; Chapter 3. AI solutions for delay reduction in the civil aviation industry: a comprehensive review ; Chapter 4. Transforming aviation: the role of artificial intelligence in air traffic management -- Section 2. Digital transformation and technology readiness. Chapter 5. The investigation of the relationship between technology readiness and technological resistance: the case of Istanbul airport ; Chapter 6. Remote control tower: state of the art, challenges, and future trends -- Section 3. Uavs and drone technology. Chapter 7. Comparative analysis of UAVs: a study on payload capacity and performance ; Chapter 8. UAV path planning: challenges, strategies, and future directions ; Chapter 9. A comprehensive analysis of drone regulations in India and the European union -- Section 4. Aviation infrastructure, operations, and advanced technologies in aerospace. Chapter 10. Advancing aerospace inspection with terahertz technology ; Chapter 11. Role of aviation infrastructure in aviation operation -- Section 5. Workplace dynamics and employee satisfaction in aviation. Chapter 12. Understanding work-life balance in the aviation industry: a comparative analysis of jet airways and indigo ; Chapter 13. Navigating the skies of success in aircraft manufacturing companies' market takeover strategies ; Chapter 14. Revisiting digital India 2.0: exploring new horizon and insights ; Chapter 15. Challenges and roadblocks in navigating the luxury car strategy in charter aviation ; Chapter 16. Optimising motivation and retention of airline employees through the application of Herzberg's two-factor theory ; Chapter 17. Impact of workplace conflict on job satisfaction of civil aviation authority ; Chapter 18. Navigating turbulence: understanding and resolving workplace conflicts in the aviation sector -- Section 6. Power quality and compensation. Chapter 19. Load-based compensation using active power filters: a comprehensive review ; Chapter 20. Enhancing power quality: shunt active power filter with adaptive lizard algorithm for harmonic reduction. Restricted to subscribers or individual electronic text purchasers. "The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress.New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/22/2024). Air traffice control Technological innovations. Airports Traffic control. Artificial intelligence. Air Traffic Technology. Artificial Intelligence. Aviation. Big Data. Biomedical Engineering. Computer Vision. Deep Learning. Economic Dependency of Employees in the Aviation Sector. Employee Loyalty in the Aviation Sector. Employee Motivation in the Aviation Sector. Employee Retention in the Aviation Sector. Image Processing. Machine Learning. Optimization Algorithms. Sustainable Energy. Electronic books. Khalid, Saifullah editor. Siddiqui, Neha Nazneen editor. IGI Global, publisher. Print version: 9798369319543 |
| spellingShingle | New innovations in AI, aviation, and air traffic technology Section 1. Artificial intelligence and machine learning. Chapter 1. Artificial intelligence and the future of renewable energy: solar PV power forecasting ; Chapter 2. Review on machine and deep learning techniques: challenges and applications ; Chapter 3. AI solutions for delay reduction in the civil aviation industry: a comprehensive review ; Chapter 4. Transforming aviation: the role of artificial intelligence in air traffic management -- Section 2. Digital transformation and technology readiness. Chapter 5. The investigation of the relationship between technology readiness and technological resistance: the case of Istanbul airport ; Chapter 6. Remote control tower: state of the art, challenges, and future trends -- Section 3. Uavs and drone technology. Chapter 7. Comparative analysis of UAVs: a study on payload capacity and performance ; Chapter 8. UAV path planning: challenges, strategies, and future directions ; Chapter 9. A comprehensive analysis of drone regulations in India and the European union -- Section 4. Aviation infrastructure, operations, and advanced technologies in aerospace. Chapter 10. Advancing aerospace inspection with terahertz technology ; Chapter 11. Role of aviation infrastructure in aviation operation -- Section 5. Workplace dynamics and employee satisfaction in aviation. Chapter 12. Understanding work-life balance in the aviation industry: a comparative analysis of jet airways and indigo ; Chapter 13. Navigating the skies of success in aircraft manufacturing companies' market takeover strategies ; Chapter 14. Revisiting digital India 2.0: exploring new horizon and insights ; Chapter 15. Challenges and roadblocks in navigating the luxury car strategy in charter aviation ; Chapter 16. Optimising motivation and retention of airline employees through the application of Herzberg's two-factor theory ; Chapter 17. Impact of workplace conflict on job satisfaction of civil aviation authority ; Chapter 18. Navigating turbulence: understanding and resolving workplace conflicts in the aviation sector -- Section 6. Power quality and compensation. Chapter 19. Load-based compensation using active power filters: a comprehensive review ; Chapter 20. Enhancing power quality: shunt active power filter with adaptive lizard algorithm for harmonic reduction. Air traffice control Technological innovations. Airports Traffic control. Artificial intelligence. |
| title | New innovations in AI, aviation, and air traffic technology |
| title_alt | New innovations in artificial intelligence, aviation, and air traffic technology |
| title_auth | New innovations in AI, aviation, and air traffic technology |
| title_exact_search | New innovations in AI, aviation, and air traffic technology |
| title_full | New innovations in AI, aviation, and air traffic technology Saifullah Khalid, Neha Nazneen Siddiqui, editors. |
| title_fullStr | New innovations in AI, aviation, and air traffic technology Saifullah Khalid, Neha Nazneen Siddiqui, editors. |
| title_full_unstemmed | New innovations in AI, aviation, and air traffic technology Saifullah Khalid, Neha Nazneen Siddiqui, editors. |
| title_short | New innovations in AI, aviation, and air traffic technology |
| title_sort | new innovations in ai aviation and air traffic technology |
| topic | Air traffice control Technological innovations. Airports Traffic control. Artificial intelligence. |
| topic_facet | Air traffice control Technological innovations. Airports Traffic control. Artificial intelligence. Electronic books. |
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