1 citations · 1 across the 4 of their papers we have counts for
5 papers
When Do Language-Grounded Explanations Help? A Graph-Bottleneck for Farm Monitoring Interpretable Sheep Facial Pain
Alam Noor, Miguel Guti'errez Gait'an
Automated pain recognition from facial expression could make continuous welfare assessment practical in sheep, but adoption depends on trust: a stockperson cannot act on a score th…
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…
LAPF: LLM-Agent-Based Path Finder Using the UAVScenes Dataset
Yousef Emami, Mohammadhossein Homaei, Hao Zhou +3
Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous navigation in complex outdoor environments, where dynamic conditions and mission requirements require intel…
AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring
Yousef Emami, Miguel Gutierrez Gaitan, Atefeh Hajijamali Arani +2
Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous inspection and sensor data collection in large-scale infrastructure monitoring applications, such as pipeli…
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 (…