12 citations · 24 across the 12 of their papers we have counts for
14 papers
Eyes on the Environment: AI-Driven Analysis for Fire and Smoke Classification, Segmentation, and Detection
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Fatemeh Afghah +4
Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife. In this particular circumstance,…
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…
Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles
Mahsa Keshavarz, Alireza Shamsoshoara, Fatemeh Afghah +1
Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and co…
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…
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning
Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah +2
In this paper, we develop a distributed mechanism for spectrum sharing among a network of unmanned aerial vehicles (UAV) and licensed terrestrial networks. This method can provide…
A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks
Han Peng, Abolfazl Razi, Fatemeh Afghah +1
In recent years, using a network of autonomous and cooperative unmanned aerial vehicles (UAVs) without command and communication from the ground station has become more imperative,…
On Greedy Routing in Dynamic UAV Networks
Mehrdad Khaledi, Arnau Rovira-Sugranes, Fatemeh Afghah +1
Unmanned aerial vehicles (UAVs), commonly known as drones, are becoming increasingly popular for various applications. Freely flying drones create highly dynamic environments, wher…
Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach
Sajad Mousavi, Fatemeh Afghah, Jonathan D. Ashdown +1
The problem of decentralized multiple Point of Interests (PoIs) detection and associated task completion in an unknown environment with multiple resource-constrained and self-inter…
A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks
Fatemeh Afghah, Mohammad Zaeri-Amirani, Abolfazl Razi +2
The problem of adversary target detection and the subsequent task completion using a heterogeneous network of resource-constrained UAVs is considered. No prior knowledge about loca…
Optimal Measurement Policy for Predicting UAV Network Topology
Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski
In recent years, there has been a growing interest in using networks of Unmanned Aerial Vehicles (UAV) that collectively perform complex tasks for diverse applications. An importan…
A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection
Fatemeh Afghah, Abolfazl Razi, Kayvan Najarian
False alarm is one of the main concerns in intensive care units and can result in care disruption, sleep deprivation, and insensitivity of care-givers to alarms. Several methods ha…
Channel-Adaptive Packetization Policy for Minimal Latency and Maximal Energy Efficiency
Abolfazl Razi, Fatemeh Afghah, Ali Abedi
This article considers the problem of delay optimal bundling of the input symbols into transmit packets in the entry point of a wireless sensor network such that the link delay is…