Federated machine learning: Survey, multi-level classification, desirable criteria and future directions in communication and networking systems
The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …
solutions to replace the traditional model-driven approaches that proved to be not rich …
Path-planning for unmanned aerial vehicles with environment complexity considerations: A survey
Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range
of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous …
of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous …
Age of information aware trajectory planning of UAVs in intelligent transportation systems: A deep learning approach
Unmanned aerial vehicles (UAVs) are envisioned to play a key role in intelligent
transportation systems to complement the communication infrastructure in future smart cities …
transportation systems to complement the communication infrastructure in future smart cities …
UAV-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management
Unmanned Aerial Vehicles (UAVs) are gaining growing interests due to the paramount roles
they play, particularly these days, in enabling new services that help modernize our …
they play, particularly these days, in enabling new services that help modernize our …
Leveraging UAVs for coverage in cell-free vehicular networks: A deep reinforcement learning approach
The success in transitioning towards smart cities relies on the availability of information and
communication technologies that meet the demands of this transformation. The terrestrial …
communication technologies that meet the demands of this transformation. The terrestrial …
An obstacle avoidance approach for UAV path planning
The recent pandemic of COVID-19 has proven to be a test case for Unmanned Aerial
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Machine learning for uav-aided its: A review with comparative study
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Energy-efficient resource allocation for UAV-assisted vehicular networks with spectrum sharing
W Qi, Q Song, L Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular networks are envisioned to deliver data transmission services ubiquitously,
especially in the upcoming autonomous driving era. Accordingly, the high data traffic load …
especially in the upcoming autonomous driving era. Accordingly, the high data traffic load …
RIS-assisted UAV for timely data collection in IoT networks
Intelligent transportation systems are thriving thanks to a wide range of technological
advances, namely 5G communications, the Internet of Things (IoT), artificial intelligence, and …
advances, namely 5G communications, the Internet of Things (IoT), artificial intelligence, and …
A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems
JA Marshall, W Sun, A L'Afflitto - Annual Reviews in control, 2021 - Elsevier
This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …