Fatemeh Afghah

research

∙ 08/28/2023

Heterogeneous Drone Small Cells: Optimal 3D Placement for Downlink Power Efficiency and Rate Satisfaction

In this paper, we consider a heterogeneous repository of drone-enabled a...

0 Nima Namvar, et al. ∙

research

∙ 08/21/2023

SCC5G: A PQC-based Architecture for Highly Secure Critical Communication over Cellular Network in Zero-Trust Environment

5G made a significant jump in cellular network security by offering enha...

0 Mohammed Gharib, et al. ∙

research

∙ 07/03/2023

5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas

Unmanned aerial vehicles (UAVs) have become extremely popular for both m...

0 Mohammed Gharib, et al. ∙

research

∙ 06/15/2023

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning

This paper investigates an interference-aware joint path planning and po...

0 Alireza Shamsoshoara, et al. ∙

research

∙ 06/15/2023

Attention-based Open RAN Slice Management using Deep Reinforcement Learning

As emerging networks such as Open Radio Access Networks (O-RAN) and 5G c...

0 Fatemeh Lotfi, et al. ∙

research

∙ 06/10/2023

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning

In the medical field, current ECG signal analysis approaches rely on sup...

0 Seokmin Choi, et al. ∙

research

∙ 05/22/2023

A Meta-learning based Generalizable Indoor Localization Model using Channel State Information

Indoor localization has gained significant attention in recent years due...

0 Ali Owfi, et al. ∙

research

∙ 04/25/2023

Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer

Passive space-borne radiometers operating in the 1400-1427 MHz protected...

0 Ali Owfi, et al. ∙

research

∙ 03/04/2023

Synthetic ECG Signal Generation using Probabilistic Diffusion Models

Deep learning image processing models have had remarkable success in rec...

0 Edmond Adib, et al. ∙

research

∙ 02/08/2023

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios

Facial expressions convey massive information and play a crucial role in...

0 Hossein Rajoli, et al. ∙

research

∙ 08/30/2022

Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN

The next-generation wireless networks are required to satisfy a variety ...

0 Fatemeh Lotfi, et al. ∙

research

∙ 05/14/2022

LB-OPAR: Load Balanced Optimized Predictive and Adaptive Routing for Cooperative UAV Networks

Cooperative ad-hoc UAV networks have been turning into the primary solut...

0 Mohammed Gharib, et al. ∙

research

∙ 12/05/2021

Synthetic ECG Signal Generation Using Generative Neural Networks

Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the...

0 Edmond Adib, et al. ∙

research

∙ 05/08/2021

An Exhaustive Study of Using Commercial LTE Network for UAV Communication in Rural Areas

Unmanned aerial vehicles (UAVs) have been increasingly used in a wide ar...

0 Mohammed Gharib, et al. ∙

research

∙ 05/06/2021

How UAVs' Highly Dynamic 3D Movement Improves Network Security?

Cooperative ad hoc unmanned aerial vehicle (UAV) networks need essential...

0 Mohammed Gharib, et al. ∙

research

∙ 04/03/2021

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook

Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enab...

0 Arnau Rovira-Sugranes, et al. ∙

research

∙ 03/23/2021

Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks

Current networking protocols deem inefficient in accommodating the two k...

0 Arnau Rovira-Sugranes, et al. ∙

research

∙ 02/06/2021

A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection

The electrocardiogram (ECG) signal is the most widely used non-invasive ...

0 Atiyeh Fotoohinasab, et al. ∙

research

∙ 02/02/2021

A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection

This study presents a new viewpoint on ECG signal analysis by applying a...

0 Atiyeh Fotoohinasab, et al. ∙

research

∙ 01/17/2021

OPAR: Optimized Predictive and Adaptive Routing for Cooperative UAV Networks

Cooperative UAV networks are becoming increasingly popular in military a...

0 Mohammed Gharib, et al. ∙

research

∙ 12/28/2020

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

Wildfires are one of the costliest and deadliest natural disasters in th...

14 Alireza Shamsoshoara, et al. ∙

research

∙ 10/05/2020

Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering

This paper introduces Multi-Level feature learning alongside the Embeddi...

0 Behzad Ghazanfari, et al. ∙

research

∙ 07/16/2020

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

Unmanned aerial vehicles (UAVs) have been increasingly utilized in vario...

0 Mahsa Keshavarz, et al. ∙

research

∙ 04/24/2020

A Graph-constrained Changepoint Detection Approach for ECG Segmentation

Electrocardiogram (ECG) signal is the most commonly used non-invasive to...

0 Atiyeh Fotoohinasab, et al. ∙

research

∙ 03/09/2020

Deep Inverse Feature Learning: A Representation Learning of Error

This paper introduces a novel perspective about error in machine learnin...

0 Behzad Ghazanfari, et al. ∙

research

∙ 03/08/2020

Inverse Feature Learning: Feature learning based on Representation Learning of Error

This paper proposes inverse feature learning as a novel supervised featu...

0 Behzad Ghazanfari, et al. ∙

research

∙ 02/12/2020

HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks

Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmia...

0 Sajad Mousavi, et al. ∙

research

∙ 02/10/2020

gfpop: an R Package for Univariate Graph-Constrained Change-point Detection

In a world with data that change rapidly and abruptly, it is important t...

0 Vincent Runge, et al. ∙

research

∙ 11/26/2019

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

This paper studies the problem of spectrum shortage in an unmanned aeria...

5 Alireza Shamsoshoara, et al. ∙

research

∙ 09/25/2019

Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks

This study proposes a deep learning model that effectively suppresses th...

0 Sajad Mousavi, et al. ∙

research

∙ 07/29/2019

A Survey on Hardware-based Security Mechanisms for Internet of Things

The vast areas of applications for IoTs in future smart cities, industri...

0 Alireza Shamsoshoara, et al. ∙

research

∙ 07/28/2019

A Proof of Concept SRAM-based Physically Unclonable Function (PUF) Key Generation Mechanism for IoT Devices

This paper provides a proof of concept for using SRAM based Physically U...

0 Ashwija Reddy Korenda, et al. ∙

research

∙ 04/17/2019

An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs

The high rate of false alarms in intensive care units (ICUs) is one of t...

0 Behzad Ghazanfari, et al. ∙

research

∙ 04/16/2019

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

In this paper, we study the problem of spectrum scarcity in a network of...

0 Alireza Shamsoshoara, et al. ∙

research

∙ 04/15/2019

Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles

In this paper, we propose a drone-based wildfire monitoring system for r...

0 Fatemeh Afghah, et al. ∙

research

∙ 03/05/2019

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Electroencephalogram (EEG) is a common base signal used to monitor brain...

0 Sajad Mousavi, et al. ∙

research

∙ 11/17/2018

Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach

Reinforcement learning (RL) techniques, while often powerful, can suffer...

0 Behzad Ghazanfari, et al. ∙

research

∙ 11/13/2018

Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning

In this paper, we develop a distributed mechanism for spectrum sharing a...

0 Alireza Shamsoshoara, et al. ∙

research

∙ 09/07/2018

Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers

In this paper, a general cognitive radio system consisting of a set of u...

0 Mohammad Zaeri-Amirani, et al. ∙

research

∙ 07/31/2018

A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks

In recent years, using a network of autonomous and cooperative unmanned ...

0 Han Peng, et al. ∙

research

∙ 06/04/2018

On Greedy Routing in Dynamic UAV Networks

Unmanned aerial vehicles (UAVs), commonly known as drones, are becoming ...

0 Mehrdad Khaledi, et al. ∙

research

∙ 05/17/2018

A Secret Key Generation Scheme for Internet of Things using Ternary-States ReRAM-based Physical Unclonable Functions

Some of the main challenges towards utilizing conventional cryptographic...

0 Ashwija Reddy Korenda, et al. ∙

research

∙ 04/26/2018

A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs, A Genetic-Algorithm Approach

High false alarm rate in intensive care units (ICUs) has been identified...

0 Mohammad Zaeri-Amirani, et al. ∙

research

∙ 02/18/2018

Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach

The problem of decentralized multiple Point of Interests (PoIs) detectio...

0 Sajad Mousavi, et al. ∙

research

∙ 02/16/2018

A Reputation-based Stackelberg Game Model to Enhance Secrecy Rate in Spectrum Leasing to Selfish IoT Devices

The problem of cooperative spectrum leasing to unlicensed Internet of Th...

0 Fatemeh Afghah, et al. ∙

research

∙ 12/21/2017

A ReRAM Physically Unclonable Function (ReRAM PUF)-based Approach to Enhance Authentication Security in Software Defined Wireless Networks

The exponentially increasing number of ubiquitous wireless devices conne...

0 Fatemeh Afghah, et al. ∙

research

∙ 11/01/2017

A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks

The problem of adversary target detection and the subsequent task comple...

0 Fatemeh Afghah, et al. ∙

research

∙ 12/05/2015

A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection

False alarm is one of the main concerns in intensive care units and can ...

0 Fatemeh Afghah, et al. ∙

Fatemeh Afghah

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