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 …
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 …
Edge-assisted learning for real-time UAV imagery via predictive offloading
Real-time decision making with unmanned aerial vehicles (UAVs) imagery is desired in
many applications. Deep learning (DL) is a promising enabler for such applications thanks …
many applications. Deep learning (DL) is a promising enabler for such applications thanks …
Machine learning based edge-assisted UAV computation offloading for data analyzing
Recently, Combining communication technology with Unmanned Aerial Vehicle (UAV) have
been regarding as one of the promising techniques in the future network. Various services …
been regarding as one of the promising techniques in the future network. Various services …
An intelligent task offloading algorithm (iTOA) for UAV network
S Chen, Q Wang, J Chen, T Wu - 2019 IEEE Globecom …, 2019 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) is emerged as a promising technology to support human
activities, such as target tracking, disaster rescue and surveillance. However, these tasks …
activities, such as target tracking, disaster rescue and surveillance. However, these tasks …
[HTML][HTML] Transmission line segmentation solutions for uav aerial photography based on improved unet
M He, L Qin, X Deng, S Zhou, H Liu, K Liu - Drones, 2023 - mdpi.com
The accurate and efficient detection of power lines and towers in aerial drone images with
complex backgrounds is crucial for the safety of power grid operations and low-altitude …
complex backgrounds is crucial for the safety of power grid operations and low-altitude …
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 …
A lightweight multiscale-multiobject deep segmentation architecture for UAV-based consumer applications
Smart UAVs have been developed under the consumer Internet of Drone Things (CIoDTs)
framework to improve the quality of service (QoS) for several commercial and consumer …
framework to improve the quality of service (QoS) for several commercial and consumer …
Distilled split deep neural networks for edge-assisted real-time systems
Offloading the execution of complex Deep Neural Networks (DNNs) models to compute-
capable devices at the network edge, that is, edge servers, can significantly reduce capture …
capable devices at the network edge, that is, edge servers, can significantly reduce capture …
[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …
support of human activities, such as target tracking, disaster rescue, and surveillance …