The application of drone technology promises to revolutionize the transportation industry.
Particularly, the combination of drones with ground vehicles has tremendous advantages for …

An approach to the implementation of a neural network for real-time cryptographic data
protection with symmetric keys oriented on embedded systems is presented. This approach …

This paper proposes the design of a quadcopter neural controller based on Reinforcement
Learning (RL) for controlling the complete maneuvers of landing and take-off, even in …

We propose a novel framework for achieving precision landing in drone services. The
proposed framework consists of two distinct decoupled modules, each designed to address …

Various unmanned aerial vechicle (UAV) applications, especially those based on
reconnaissance and observation missions, often require an unlimited time of flight. This is …

Natural fibers have been widely used as a reinforcing material for the construction of drones.
The main goal of this review is to identify a biodegradable natural fiber material that can be …

The neural network technology for real-time cryptographic data protection with symmetric
keys (masking codes, neural network architecture and weights matrix) for unmanned aerial …

Various UAV applications, especially those based on reconnaissance and observation
missions, often require an unlimited time of flight. This is possible only when a UAV is being …

Over the past decade, autonomous Vertical Take-Off and Landing (VTOL) aircraft have been
increasingly operated in a wide range of applications in both civil and military markets …