16 citations · 61 across the 30 of their papers we have counts for
8 papers · 1 filter
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
Fatemeh Lotfi, Fatemeh Afghah
As wireless networks grow to support more complex applications, the Open Radio Access Network (O-RAN) architecture, with its smart RAN Intelligent Controller (RIC) modules, becomes…
SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections
Sahand Khoshdel, Fatemeh Afghah, Qi Luo
The rapid evolution of urban air mobility (UAM) is reshaping the future of transportation by integrating aerial vehicles into urban transit systems. The design of aerial intersecti…
PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable Environments
Sahand Khoshdel, Qi Luo, Fatemeh Afghah
Motivated by agility, 3D mobility, and low-risk operation compared to human-operated management systems of autonomous unmanned aerial vehicles (UAVs), this work studies UAV-based a…
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
Aruna Mohan, Danne Elbers, Or Zilbershot +2
Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in c…
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
Hossein Rajoli, Pouya Afshin, Fatemeh Afghah
Unmanned aerial vehicles (UAVs) offer a flexible and cost-effective solution for wildfire monitoring. However, their widespread deployment during wildfires has been hindered by a l…
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks
Austin Briley, Fatemeh Afghah
Early wildfire detection in remote and forest areas is crucial for minimizing devastation and preserving ecosystems. Autonomous drones offer agile access to remote, challenging ter…
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah
With emerging applications such as autonomous driving, smart cities, and smart factories, network slicing has become an essential component of 5G and beyond networks as a means of…
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artific…