Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising
S Ozer, HE Ilhan, MA Ozkanoglu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote
server helps improve battery life and can help reduce resource requirements. Deep learning …
server helps improve battery life and can help reduce resource requirements. Deep learning …
Offloading deep learning empowered image segmentation from uav to edge server
Image and video analysis in unmanned aerial vehicle (UAV) systems have been a recent
interest in many applications since the images taken by UAV systems can provide useful …
interest in many applications since the images taken by UAV systems can provide useful …
Distributed deep learning-based task offloading for UAV-enabled mobile edge computing
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …
offer computational capabilities to the resource-constraints end-users. In this paper, we …
Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs
Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …
and complex environments, are becoming increasingly common. Deep learning techniques …
Deep reinforcement learning for multi-hop offloading in UAV-assisted edge computing
In this article, we propose a unmanned aerial vehicle (UAV)-assisted multi-hop edge
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
Energy-aware dynamic computation offloading for video analytics in multi-UAV systems
Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have been
found to be useful for operations such as disaster management and smart farming. These …
found to be useful for operations such as disaster management and smart farming. These …
E2edgeai: Energy-efficient edge computing for deployment of vision-based dnns on autonomous tiny drones
Artificial Intelligence (AI) and Deep Neural Networks (DNNs) have attracted attention as a
solution within autonomous systems fields as they enable applications such as visual …
solution within autonomous systems fields as they enable applications such as visual …
[HTML][HTML] Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
Energy-efficient UAV deployment and task scheduling in multi-UAV edge computing
Y Wang, H Wang, X Wei - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) Edge Computing is expected to be critical for providing
communications, computation, and storage services at areas with weak infrastructures …
communications, computation, and storage services at areas with weak infrastructures …
A hybrid fast inference approach with distributed neural networks for edge computing enabled UAV swarm
Nowadays, unmanned aerial vehicle (UAV) swarm supported by mobile edge computing is
attracting more and more attention, such as smart agriculture, smart transportation, smart …
attracting more and more attention, such as smart agriculture, smart transportation, smart …