The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …

This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

The paper describes an original technique for the real-time monitoring of parameters and
technical diagnostics of small unmanned aerial vehicle (UAV) units using neural network …

Multirotor UAVs are used for a wide spectrum of civilian and public domain applications.
Their navigation controllers include onboard sensor suites that facilitate safe, autonomous or …

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 …

Unmanned Aerial Vehicles (UAVs) are being used for wireless communications in smart
environments. However, the need for mobility, scalability of data transmission over wide …

Imbalanced data significantly impacts the efficacy of machine learning models. In cases
where one class greatly outweighs the other in terms of sample count, models might develop …

Beyond fifth generation (B5G), communication has attracted much attention from academia,
industry, and mobile network operators due to network densification, ultra-low latency …

Multiple Deep Neural Networks (DNNs) integrated into single Deep Learning (DL) inference
pipelines eg Multi-Task Learning (MTL) or Ensemble Learning (EL), etc., albeit very …