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.
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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.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch. Bestandsnummer des Verkäufers 9786630093827
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware 72 pp. Englisch. Bestandsnummer des Verkäufers 9786630093827
Anzahl: 1 verfügbar