1 citations · 1 across the 12 of their papers we have counts for
13 papers
When Quantum Federated Learning Meets Blockchain in 6G Networks
Dinh C. Nguyen, Md Bokhtiar Al Zami, Ratun Rahman +3
Quantum federated learning (QFL) is emerging as a key enabler for intelligent, secure, and privacy-preserving model training in next-generation 6G networks. By leveraging the compu…
A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
Julia Boone, Tolunay Seyfi, Fatemeh Afghah
Internet of Vehicles (IoV) systems, while offering significant advancements in transportation efficiency and safety, introduce substantial security vulnerabilities due to their hig…
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models
Niloufar Alipour Talemi, Hossein Kashiani, Hossein R. Nowdeh +1
Prompt learning has emerged as a powerful paradigm for adapting vision-language models such as CLIP to downstream tasks. However, existing methods often overfit to seen data, leadi…
Role of flow topology in wind-driven wildfire propagation
Siva Viknesh, Ali Tohidi, Fatemeh Afghah +2
Wildfires propagate through intricate interactions between wind, fuel, and terrain, resulting in complex behaviors that pose challenges for accurate predictions. This study investi…
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
Hossein Rajoli, Sahand Khoshdel, Fatemeh Afghah +1
FlameFinder is a deep metric learning (DML) framework designed to accurately detect flames, even when obscured by smoke, using thermal images from firefighter drones during wildfir…
LB-OPAR: Load Balanced Optimized Predictive and Adaptive Routing for Cooperative UAV Networks
Mohammed Gharib, Fatemeh Afghah, Elizabeth Serena Bentley
Cooperative ad-hoc UAV networks have been turning into the primary solution set for situations where establishing a communication infrastructure is not feasible. Search-and-rescue…
UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning
Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch +2
The damage to cellular towers during natural and man-made disasters can disturb the communication services for cellular users. One solution to the problem is using unmanned aerial…
Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
Arnau Rovira-Sugranes, Fatemeh Afghah, Junsuo Qu +1
Current networking protocols deem inefficient in accommodating the two key challenges of Unmanned Aerial Vehicle (UAV) networks, namely the network connectivity loss and energy lim…
Inverse Feature Learning: Feature learning based on Representation Learning of Error
Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi
This paper proposes inverse feature learning as a novel supervised feature learning technique that learns a set of high-level features for classification based on an error represen…
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
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 disaste…
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers
Mohammad Zaeri-Amirani, Fatemeh Afghah, Jonathan Ashdown
In this paper, a general cognitive radio system consisting of a set of users with different level of spectrum access including two primary transceivers and several types of seconda…
Inter-Satellite Communication System based on Visible Light
David Amanor, William Edmonson, Fatemeh Afghah
Future space missions will be driven by factors such as the need for reduced cost of spacecraft without diminished performance, new services and capabilities including reconfigurab…
A ReRAM Physically Unclonable Function (ReRAM PUF)-based Approach to Enhance Authentication Security in Software Defined Wireless Networks
Fatemeh Afghah, Bertrand Cambou, Masih Abedini +1
The exponentially increasing number of ubiquitous wireless devices connected to the Internet in Internet of Things (IoT) networks highlights the need for a new paradigm of data flo…