AI and Data Analytics in Aviation Operations - Softcover

Ruia, Arpit

 
9786630093827: AI and Data Analytics in Aviation Operations

Inhaltsangabe

This monograph presents a comprehensive treatment of artificial intelligence and data analytics as applied to civil aviation operations. The work develops a multi-tier analytical architecture spanning aviation data infrastructure, machine learning fundamentals for safety-critical systems, and predictive safety applications including trajectory prediction and predictive maintenance. A central original contribution is a probabilistic Transformer-based airspace conflict prediction system combining a domain-adapted encoder-decoder architecture with calibrated Gaussian output distributions. The monograph addresses federated learning for privacy-preserving model training across distributed air navigation service providers, regulatory frameworks under EASA, FAA, and ICAO, and concludes with a strategic outlook on urban air mobility, large language model interfaces, quantum computing, and cybersecurity threats to AI-driven ATM systems.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Arpit Ruia is a researcher and practitioner working at the intersection of artificial intelligence and civil aviation. His work focuses on machine learning, probabilistic inference, and decision-support architectures for air traffic management, with particular attention to federated learning, conflict prediction, and airspace capacity optimization.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.