A survey on applications of unmanned aerial vehicles using machine learning

K Teixeira, G Miguel, HS Silva, F Madeiro - IEEE Access, 2023‏ - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

UAV-employed intelligent approach to identify injured soldier on blockchain-integrated internet of battlefield things

M Masuduzzaman, T Rahim, A Islam… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
This study proposes an intelligent approach to identifying an injured soldier on blockchain-
integrated Internet-of-Battlefield Things (IoBT) employing unmanned aerial vehicles (UAVs) …

A Deep Learning-Based FDI Attack Detection Scheme for Secure Data Consolidation in Cooperative UxV Operations Using Zero Touch Networking

A Islam, H Karimipour - 2024 IEEE 10th World Forum on …, 2024‏ - ieeexplore.ieee.org
Unmanned any vehicles (UxVs), including aerial (UAVs), ground (UGVs), surface (USVs),
and underwater (UUVs) vehicles, are transforming smart ecosystems by enhancing …

A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities

A Islam, H Karimipour - 2023 IEEE Symposium Series on …, 2023‏ - ieeexplore.ieee.org
Smart cities embrace unmanned autonomous vehicles (UxVs) for urban mobility and
addressing challenges. UxVs include UAVs, UGVs, USVs, and UUVs, empowered by AI …

Regression Analysis of Garbage Management System for Smart Cities

RK Sharma, M Jailia - Proceedings of the 4th International Conference …, 2022‏ - dl.acm.org
The environment faces significant issues from garbage management, which is quite
essential. It is a crucial issue for Municipal Corporation organisations. Different techniques …