Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
Machine learning for cooperative spectrum sensing and sharing: A survey
With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …
the increasing demand of spectrum resources, it becomes necessary to introduce learning …
[HTML][HTML] Drone vs. bird detection: Deep learning algorithms and results from a grand challenge
Adopting effective techniques to automatically detect and identify small drones is a very
compelling need for a number of different stakeholders in both the public and private …
compelling need for a number of different stakeholders in both the public and private …
A survey on machine learning algorithms for applications in cognitive radio networks
In this paper, we present a survey on the utility of machine learning (ML) algorithms for
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
[HTML][HTML] 1-D convolutional neural network-based models for cooperative spectrum sensing
Spectrum sensing is an essential function of cognitive radio technology that can enable the
reuse of available radio resources by so-called secondary users without creating harmful …
reuse of available radio resources by so-called secondary users without creating harmful …
A k-nearest neighbors approach to the design of radar detectors
A k-nearest neighbors (KNN) approach to the design of radar detectors is investigated. The
idea is to start with either raw data or well-known radar statistics as feature vector to be fed to …
idea is to start with either raw data or well-known radar statistics as feature vector to be fed to …
TCVQ-SVM algorithm for narrowband spectrum sensing
J Sheng, F Liu, Z Zhang, C Huang - Physical Communication, 2022 - Elsevier
Spectrum sensing is viewed as the basic and crucial technology for cognitive radio. To
improve the accuracy of spectrum sensing in low signal to noise ratio (SNR), this paper …
improve the accuracy of spectrum sensing in low signal to noise ratio (SNR), this paper …
Acoustic dual-function communication and echo-location in inaudible band
Acoustic communications are experiencing renewed interest as alternative solutions to
traditional RF communications, not only in RF-denied environments (such as underwater) …
traditional RF communications, not only in RF-denied environments (such as underwater) …
Machine Learning for Spectrum Sharing: A Survey
FRV Guimarães, JMB da Silva Jr… - … and Trends® in …, 2024 - nowpublishers.com
Abstract The 5th generation (5G) of wireless systems is being deployed with the aim to
provide many sets of wireless communication services, such as low data rates for a massive …
provide many sets of wireless communication services, such as low data rates for a massive …
Hybrid whale algorithm with evolutionary strategies and filtering for high-dimensional optimization: Application to microarray cancer data
The standard whale algorithm is prone to suboptimal results and inefficiencies in high-
dimensional search spaces. Therefore, examining the whale optimization algorithm …
dimensional search spaces. Therefore, examining the whale optimization algorithm …