Adversarial Label-Flip** Attack and Defense for Anomaly Detection in Spatial Crowdsourcing UAV Services
The rapid expansion of Graph Neural Networks (GNNs) in consumer electronics and
Vehicular Edge Computing (VEC) enhanced Internet of Drone Things (IoDT) services …
Vehicular Edge Computing (VEC) enhanced Internet of Drone Things (IoDT) services …
Digital Twins and Control Theory: A Critical Review on Revolutionizing Quadrotor UAVs
GEM Abro, AM Abdallah - IEEE Access, 2024 - ieeexplore.ieee.org
This work explores the crucial roles that control theory and digital twins play in enhancing
the performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It …
the performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It …
Insulator defect detection based on the cddcr–yolov8 algorithm
T Jiang, X Hou, M Wang - International Journal of Computational …, 2024 - Springer
Insulator defect detection is a critical aspect of grid inspection in reality, yet it faces intricate
environmental challenges, such as slow detection speed and low accuracy. To address this …
environmental challenges, such as slow detection speed and low accuracy. To address this …
Anomaly Detection in Imbalanced Encrypted Traffic with Few Packet Metadata-Based Feature Extraction.
MG Kim, H Kim - CMES-Computer Modeling in Engineering …, 2024 - search.ebscohost.com
Abstract In the IoT (Internet of Things) domain, the increased use of encryption protocols
such as SSL/TLS, VPN (Virtual Private Network), and Tor has led to a rise in attacks …
such as SSL/TLS, VPN (Virtual Private Network), and Tor has led to a rise in attacks …
Natural disaster damage analysis using lightweight spatial feature aggregated deep learning model
Natural disasters have an economic impact, affecting buildings and infrastructures. These
impacts need to be evaluated for easier mitigation analysis. The conventional methods of …
impacts need to be evaluated for easier mitigation analysis. The conventional methods of …
Quantized Fuzzy Fixed-Time Target Tracking With Uncertainties for Consumer UAVs
T **ng, J Zhang, Y **a, X Hou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Consumer unmanned aerial vehicles (UAVs) are increasingly emphasized in various fields
due to the great progress of technology. The target tracking technology can significantly …
due to the great progress of technology. The target tracking technology can significantly …
Robust Lightweight UAV Inspection System for Consumer Electronics Applications in Smart Grids
XY Zhang, Y Xuan, C Mu, Z Ding… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
With the expansion of smart grids, and the increasing need for efficient infrastructure
management, unmanned aerial vehicles (UAVs) have become vital for tasks such as object …
management, unmanned aerial vehicles (UAVs) have become vital for tasks such as object …
Next-Gen Smart Healthcare Using UAV Assisted Cooperative Communication: A Deep Learning Approach
Unmanned aerial vehicles (UAVs) are evolving rapidly and are revolutionizing the operation
of several applications. An important application that can be significantly improved with UAV …
of several applications. An important application that can be significantly improved with UAV …
Feature fusion means a lot to DETRs
X Huakai - Multimedia Tools and Applications, 2024 - Springer
Abstract The DEtection TRansformer (DETR) is a pioneering end-to-end object detector that
has garnered significant success. However, it is not without its shortcomings, as it is …
has garnered significant success. However, it is not without its shortcomings, as it is …
Maximize the Value of Goal-Driven UAV Network Operations Based on Network Intelligence: A Comprehensive Review
C Qiu, X Wang, W Shen - … Journal on Miniaturization for Air and …, 2025 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have revolutionized various sectors, including remote
sensing, surveillance, environmental monitoring, and disaster management. Rapid …
sensing, surveillance, environmental monitoring, and disaster management. Rapid …