Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

Architect the autonomous skies of the future and master the high-performance protocols of modern aerospace intelligence. Artificial Intelligence Applications in Aeronautical and Aerospace Engineering provides a definitive, engineering-first roadmap to the most significant shift in flight technology since the jet engine. Learn how to move beyond manual cockpit operations to high-velocity, predictive avionics—bridging the gap between a standard aircraft and a sophisticated, learning-capable aerospace system—ensuring your technical infrastructures are resilient, scalable, and ready for the 2026 global aviation landscape.

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What You Will Learn:

Foundations of AI in Aeronautics: Master the core principles of integrating machine learning into Computational Fluid Dynamics (CFD), aerodynamic layout optimization, and structural topology reconstruction.

Autonomous Navigation & Flight Control: Step-by-step guidance on utilizing fuzzy logic controllers and deep learning for precision navigation in unmanned aerial vehicles (UAVs) and next-gen avionics.

Modern Predictive Maintenance: Discover how to utilize autonomous drones and secure predictive frameworks to monitor aircraft health and forecast the remaining useful life (RUL) of critical components.

Strategic Security & Attack Detection: Learn advanced techniques for maintaining information security within avionics networks, including AI-based detection of Denial-of-Service (DoS) attacks in wireless ad hoc sensor networks.

Who This Book is For: This professional-grade guide is essential for Aeronautical Engineers, Aerospace Researchers, and Systems Integrators. It is an invaluable resource for any technical lead—including those building highly secure, autonomous monitoring graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, AI-enhanced aerospace delivery.

Product Details:

Format: Digital PDF Download

Editors: K. Sathish Kumar; R. Naren Shankar

Publisher: Wiley-Scrivener

ISBN-13: 9781394268764

ISBN-10: 1394268769