Search Results for author: Niloufar Mehrabi

Found 4 papers, 0 papers with code

Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation

no code implementations11 Apr 2025 Michael Elrod, Niloufar Mehrabi, Rahul Amin, Manveen Kaur, Long Cheng, Jim Martin, Abolfazl Razi

Mission planning for a fleet of cooperative autonomous drones in applications that involve serving distributed target points, such as disaster response, environmental monitoring, and surveillance, is challenging, especially under partial observability, limited communication range, and uncertain environments.

Deep Reinforcement Learning Disaster Response +1

Fire and Smoke Datasets in 20 Years: An In-depth Review

no code implementations17 Mar 2025 Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Fatemeh Afghah, Connor Peter McGrath, Danish Bhatkar, Mithilesh Anil Biradar, Abolfazl Razi

Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife.

Management

Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments

no code implementations30 Sep 2024 Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Jenna Hofseth, Abolfazl Razi, Long Cheng, Manveen Kaur, James Martin, Rahul Amin

Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remote areas and transmit real-time imagery to processing servers.

Deep Reinforcement Learning Moving Object Detection +2

An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification

no code implementations18 Aug 2023 Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Elnaz Pashaei

This paper proposes a binary version of the Horse Herd Optimization Algorithm (BHOA) in order to solve discrete problems and select prominent feature subsets.

feature selection

Cannot find the paper you are looking for? You can Submit a new open access paper.