6 citations · 14 across the 9 of their papers we have counts for
10 papers
Graph Neural Assisted Actor-Critic for Latency-Efficient Edge Vision System
Alam Noor, Luis Almeida, Kai Li +3
UAV on-board vision systems are widely used for different activities, including monitoring in no-fly zones. In this case, the vision-equipped UAV streams a video to a ground server…
3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment
Alam Noor, Luis Almeida, Mohamed Daoudi
Deep learning systems perform mainly within the 2D for a single image domain and take the face as a single-dimension representation, losing sight of the 3D anatomy of sheep and cro…
Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial
Yousef Emami, Hao Zhou, Radha Reddy +5
Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transform…
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…
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities
Yousef Emami, Mohammadhossein Homaei, Miguel Gutiérrez Gaitán +4
Machine Learning (ML) has become central to Autonomous Vehicles (AVs), supporting perception, prediction, planning, control, and decision-making in dynamic environments. However, a…
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation
Yousef Emami, Hao Gao, Kai Li +3
Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas. Optimizing the collective behavior of swarms…