An autonomous spectrum management scheme for unmanned aerial vehicle networks in disaster relief operations

A Shamsoshoara, F Afghah, A Razi, S Mousavi… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

A unified framework for joint mobility prediction and object profiling of drones in UAV networks

H Peng, A Razi, F Afghah… - … of Communications and …, 2018 - ieeexplore.ieee.org
In recent years, using a network of autonomous and cooperative unmanned aerial vehicles
(UAVs) without command and communication from the ground station has become more …

A solution for dynamic spectrum management in mission-critical UAV networks

A Shamsoshoara, M Khaledi, F Afghah… - 2019 16th annual …, 2019 - ieeexplore.ieee.org
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 …

Musical key estimation with unsupervised pattern recognition

M Finley, A Razi - 2019 IEEE 9th Annual Computing and …, 2019 - ieeexplore.ieee.org
Musical key estimation is an important area of music information retrieval (MIR) and music
informatics that helps musicians and data analysts to more precisely interact with and …

Harvest-or-transmit policy for cognitive radio networks: A learning theoretic approach

K Pathak, A Banerjee - IEEE Transactions on Green …, 2019 - ieeexplore.ieee.org
We consider an underlay cognitive radio network where the secondary user (SU) harvests
energy from the environment. We consider a slotted-mode of operation where each slot of …

Action recognition in intelligent systems

H Peng - 2023 - search.proquest.com
Action recognition is an emerging topic in artificial intelligence, which aims to automatically
detect and recognize actions of human and intelligent nodes (vehicles, UAVs) by processing …

MEDA: Multi-output Encoder-Decoder for Spatial Attention in Convolutional Neural Networks

H Li, A Razi - 2019 53rd Asilomar Conference on Signals …, 2019 - ieeexplore.ieee.org
Utilizing channel-wise spatial attention mechanisms to emphasize special parts of an input
image is an effective method to improve the performance of convolutional neural networks …