12 citations · 25 across the 11 of their papers we have counts for
13 papers
Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems
Uma Meleti, Abolfazl Razi
This research paper addresses the challenge of detecting obscured wildfires (when the fire flames are covered by trees, smoke, clouds, and other natural barriers) in real-time usin…
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook
Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah +1
Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a new breed of unprecedented applications in different domains. This technology's ongoing trend is depar…
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and ani…
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah +3
In this paper, we study the problem of spectrum scarcity in a network of unmanned aerial vehicles (UAVs) during mission-critical applications such as disaster monitoring and public…
Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles
Fatemeh Afghah, Abolfazl Razi, Jacob Chakareski +1
In this paper, we propose a drone-based wildfire monitoring system for remote and hard-to-reach areas. This system utilizes autonomous unmanned aerial vehicles (UAVs) with the main…
ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention
Sajad Mousavi, Fatemeh Afghah, Abolfazl Razi +1
The complexity of the patterns associated with Atrial Fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the current signal processin…