6 citations · 14 across the 9 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…
Sheep Facial Pain Assessment Under Weighted Graph Neural Networks
Alam Noor, Luis Almeida, Mohamed Daoudi +2
Accurately recognizing and assessing pain in sheep is key to discern animal health and mitigating harmful situations. However, such accuracy is limited by the ability to manage aut…
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 (…
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)…
Diffusion Models for Smarter UAVs: Decision-Making and Modeling
Yousef Emami, Hao Zhou, Luis Almeida +1
Uncrewed Aerial Vehicles (UAVs) are increasingly used in modern communication networks. However, challenges in decision-making and digital modeling continue to hinder their rapid d…