Search Results for author: Alireza Shamsoshoara

Found 8 papers, 4 papers with code

SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset

1 code implementation2 Jan 2024 Alireza Shamsoshoara, Safin B Salih, Pedram Aghazadeh

In particular, this paper aims to improve the Travel Assist feature for automatic overtaking and lane changes on highways.

Imitation Learning

UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning

no code implementations2 Apr 2021 Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch, Jonathan Ashdown, Mehdi Bennis

The damage to cellular towers during natural and man-made disasters can disturb the communication services for cellular users.

Imitation Learning Scheduling

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

1 code implementation28 Dec 2020 Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Liming Zheng, Peter Z Fulé, Erik Blasch

FLAME (Fire Luminosity Airborne-based Machine learning Evaluation) offers a dataset of aerial images of fires along with methods for fire detection and segmentation which can help firefighters and researchers to develop optimal fire management strategies.

BIG-bench Machine Learning Binary Classification +2

An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based Atrial Fibrillation Classification

no code implementations30 Oct 2020 James Belen, Sajad Mousavi, Alireza Shamsoshoara, Fatemeh Afghah

The uncertainty is estimated by conducting multiple passes of the input through the network to build a distribution; the mean of the standard deviations is reported as the network's uncertainty.

General Classification

Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles

no code implementations16 Jul 2020 Mahsa Keshavarz, Alireza Shamsoshoara, Fatemeh Afghah, Jonathan Ashdown

Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and communication coverage extension.

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations

1 code implementation26 Nov 2019 Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Sajad Mousavi, Jonathan Ashdown, Kurt Turk

This paper studies the problem of spectrum shortage in an unmanned aerial vehicle (UAV) network during critical missions such as wildfire monitoring, search and rescue, and disaster monitoring.

Management

A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks

2 code implementations16 Apr 2019 Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah, Abolfazl Razi, Jonathan Ashdown, Kurt Turck

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 safety missions, where the pre-allocated spectrum is not sufficient to offer a high data transmission rate for real-time video-streaming.

Management

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