4 citations · 5 across the 4 of their papers we have counts for
5 papers · 1 filter
FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring
Yousef Emami, Hao Zhou, Miguel Gutierrez Gaitan +2
Uncrewed Aerial Vehicles (UAVs) play a vital role in public safety, especially in monitoring wildfires, where early detection reduces environmental impact. In UAV-Assisted Wildfire…
From Prompts to Protection: Large Language Model-Enabled In-Context Learning for Smart Public Safety UAV
Yousef Emami, Hao Zhou, Miguel Gutierrez Gaitan +3
A public safety Uncrewed Aerial Vehicle (UAV) enhances situational awareness during emergency response. Its agility, mobility optimization, and ability to establish Line-of-Sight (…
Advancing Autonomous Emergency Response Systems: A Generative AI Perspective
Yousef Emami, Radha Reddy, Azadeh Pourkabirian +1
Autonomous Vehicles (AVs) are poised to revolutionize emergency services by enabling faster, safer, and more efficient responses. This transformation is driven by advances in Artif…
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks
Yousef Emami, Hao Zhou, SeyedSina Nabavirazani +1
Unmanned Aerial Vehicles (UAVs) are increasingly being utilized in various private and commercial applications, e.g., traffic control, parcel delivery, and Search and Rescue (SAR)…
AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring
Yousef Emami, Seyedsina Nabavirazavi, Atefeh Hajijamali Arani +5
Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous inspection and sensor data collection in large-scale infrastructure monitoring applications, such as pipeli…