AN ARTIFICIAL INTELLIGENCE APPROACH FOR RELIABLE AUTONOMOUS NAVIGATION IN GPS-DENIED ENVIRONMENTS WITH APPLICATIONS TO UNMMANED AERIAL VEHICLES

Sr, Mustafa MOHAMMAD S Alkhatib

doi:10.25394/PGS.25748940.v1

AN ARTIFICIAL INTELLIGENCE APPROACH FOR RELIABLE AUTONOMOUS NAVIGATION IN GPS-DENIED ENVIRONMENTS WITH APPLICATIONS TO UNMMANED AERIAL VEHICLES

thesis

posted on 2024-05-03, 21:01 authored by Mustafa MOHAMMAD S Alkhatib SrMustafa MOHAMMAD S Alkhatib Sr

<p dir="ltr">This Research focuses on developing artificial intelligence tools to detect and mitigate cyber-attacks targeting unmanned aerial vehicles. </p>

Funding

Collaborative Research: SaTC: CORE: Small: UAV-NetSAFE.COM: UAV Network Security Assessment and Fidelity Enhancement through Cyber-Attack-Ready Optimized Machine-Learning Platforms

Directorate for Computer & Information Science & Engineering

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History

Degree Type

Master of Science

Department

Electrical and Computer Engineering

Campus location

Hammond

Advisor/Supervisor/Committee Chair

Dr. Khair Al Shamaileh

Additional Committee Member 2

Dr. Lizhe Tan

Additional Committee Member 3

Dr. Quamar Niyaz

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Keywords

Machine learning Artificial Intelliegence Unmanned arial Vehicle Long short-term memory (LTSM)Return-to-home Software Defined Radio (SDR)Global positioning system(GPS)Jamming Mitigation

Licence

CC BY 4.0

AN ARTIFICIAL INTELLIGENCE APPROACH FOR RELIABLE AUTONOMOUS NAVIGATION IN GPS-DENIED ENVIRONMENTS WITH APPLICATIONS TO UNMMANED AERIAL VEHICLES

Funding

Collaborative Research: SaTC: CORE: Small: UAV-NetSAFE.COM: UAV Network Security Assessment and Fidelity Enhancement through Cyber-Attack-Ready Optimized Machine-Learning Platforms

History

Degree Type

Department

Campus location

Advisor/Supervisor/Committee Chair

Additional Committee Member 2

Additional Committee Member 3

Usage metrics

Categories

Keywords

Licence

Exports