4 papers
Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments
Md Sharif Hossen, Cole Dickerson, Ozgur Ozdemir +33
In this work, we present an unmanned aerial vehicle (UAV) wireless dataset collected as part of the AERPAW Autonomous Aerial Data Mule (AADM) challenge, organized by the NSF Aerial…
MMSense: Adapting Vision-based Foundation Model for Multi-task Multi-modal Wireless Sensing
Zhizhen Li, Xuanhao Luo, Xueren Ge +3
Large AI models have been widely adopted in wireless communications for channel modeling, beamforming, and resource optimization. However, most existing efforts remain limited to s…
Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments
Saad Masrur, Ozgur Ozdemir, Anil Gurses +19
This paper presents a comprehensive real-world and Digital Twin (DT) dataset collected as part of the AERPAW Find A Rover (AFAR) Challenge, organized by the NSF Aerial Experimentat…
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
Xuanhao Luo, Shivesh Madan Nath Jha, Akruti Sinha +2
Network log data analysis plays a critical role in detecting security threats and operational anomalies. Traditional log analysis methods for anomaly detection and root cause analy…