Aiting Yao
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View article: RA3T: An Innovative Region-Aligned 3D Transformer for Self-Supervised Sim-to-Real Adaptation in Low-Altitude UAV Vision
RA3T: An Innovative Region-Aligned 3D Transformer for Self-Supervised Sim-to-Real Adaptation in Low-Altitude UAV Vision Open
Low-altitude unmanned aerial vehicle (UAV) vision is critically hindered by the Sim-to-Real Gap, where models trained exclusively on simulation data degrade under real-world variations in lighting, texture, and weather. To address this pro…
View article: Optimizing UAV delivery for pervasive systems through blockchain integration and adversarial machine learning
Optimizing UAV delivery for pervasive systems through blockchain integration and adversarial machine learning Open
View article: FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system
FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system Open
View article: Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics
Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics Open
Artificial intelligence and the Internet of Things (IoT) have brought great convenience to people’s everyday lives. With the emergence of edge computing, IoT devices such as unmanned aerial vehicles (UAVs) can process data instantly at the…
View article: A privacy-preserving location data collection framework for intelligent systems in edge computing
A privacy-preserving location data collection framework for intelligent systems in edge computing Open
With the rise of smart city applications, the accessibility of users' location data by smart devices has increased significantly. However, this poses a privacy concern as attackers can deduce personal information from the raw location data…
View article: TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program
TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program Open
View article: Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions
Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions Open
Fast-growing smart city applications, such as smart delivery, smart community, and smart health, are generating big data that are widely distributed on the internet. IoT (Internet of Things) systems are at the centre of smart city applicat…
View article: A Method of Uncertainty Measurements for Multidimensional Z-number and Their Applications
A Method of Uncertainty Measurements for Multidimensional Z-number and Their Applications Open
Z-number provides the reliability of evaluation information, and it is widely used in many fields. However, people usually describe things from various aspects, so multidimensional Z-number has more advantages over traditional Z-number in …
View article: Dominance Degree Multiple Attribute Decision Making Based on Z‐Number Cognitive Information
Dominance Degree Multiple Attribute Decision Making Based on Z‐Number Cognitive Information Open
Cognitive information can be described by Z‐number fully and effectively. However, many problems of Z‐number need to be further studied. In this paper, two hidden probability models for calculating Z‐number are established to provide more …