scispace - formally typeset
F

Fatemeh Afghah

Researcher at Northern Arizona University

Publications -  166
Citations -  2681

Fatemeh Afghah is an academic researcher from Northern Arizona University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 20, co-authored 143 publications receiving 1575 citations. Previous affiliations of Fatemeh Afghah include University of Tehran & Arizona's Public Universities.

Papers
More filters
Journal ArticleDOI

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach.

TL;DR: An automatic sleep stage annotation method called SleepEEGNet using a single-channel EEG signal to extract time-invariant features, frequency information, and a sequence to sequence model to capture the complex and long short-term context dependencies between sleep epochs and scores.
Journal ArticleDOI

Survey of Inter-Satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View

TL;DR: This survey presents the various research being conducted in the small satellite community for implementing inter-satellite communications based on the open system interconnection (OSI) model, and reviews the various design parameters applicable to the first three layers of the OSI model.
Posted Content

Survey of Inter-satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View

TL;DR: In this article, the authors present the various researches being conducted in the small satellite community for implementing inter-satellite communications based on the Open System Interconnection (OSI) model, and also review the various design parameters applicable to the first three layers of the OSI model, i.e., physical, data link and network layer.
Journal ArticleDOI

An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks

TL;DR: A two-layer optimization framework to simultaneously find efficient coverage radius for the UAVs and energy efficient radio resource management for the network, subject to minimum quality-of-service and maximum transmission power constraints is formulated.