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 aerial vehicle (UAV)
network during critical missions such as wildfire monitoring, search and rescue, and disaster …
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
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 …
(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 …
vehicles (UAVs) during mission-critical applications such as disaster monitoring and public …
Musical key estimation with unsupervised pattern recognition
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 …
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 …
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 …
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
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 …
image is an effective method to improve the performance of convolutional neural networks …