Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
Bias-Compensation Augmentation Learning for Semantic Segmentation in UAV Networks
In the realm of emergency disaster relief, it is paramount to attain a thorough comprehension
of the semantic information associated with the local disaster scene for strategic rescue path …
of the semantic information associated with the local disaster scene for strategic rescue path …
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
M Janßen, T Pfandzelter, M Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …
in sensor capabilities and computational abilities, allowing for efficient autonomous …
VisIRNet: Deep Image Alignment for UAV-Taken Visible and Infrared Image Pairs
S Özer, AP Ndigande - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
This article proposes a deep-learning-based solution for multimodal image alignment
regarding unmanned aerial vehicle (UAV)-taken images. Many recently proposed state-of …
regarding unmanned aerial vehicle (UAV)-taken images. Many recently proposed state-of …
A Survey on Applications of Unmanned Aerial Vehicles using Machine Learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model
To meet the demands for ubiquitous communication and temporary edge computing in 6G
networks, aerial mobile edge computing (MEC) networks have been envisioned as a new …
networks, aerial mobile edge computing (MEC) networks have been envisioned as a new …
Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the
existing UAV-based object detection systems are subject to the serious challenge, namely …
existing UAV-based object detection systems are subject to the serious challenge, namely …