activity
20152023
most citedA Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection

12 citations · 25 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CV2023★ 1 cited

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…

cs.NI2021★ 1 cited

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…

cs.CV2020

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…

cs.NI2019

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…

cs.CY2019

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…

q-bio.QM2018

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…

cs.MA2018

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…

cs.NI2018

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,…

cs.NI2018

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…

cs.MA2017

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…

eess.SY2017

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…

cs.CV2015★ 12 cited

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…

cs.NI2015★ 11 cited

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…