Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
Drone cybersecurity issues, solutions, trend insights and future perspectives: a survey
This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
[HTML][HTML] Bilinear method and semi-inverse variational principle approach to the generalized (2+ 1)-dimensional shallow water wave equation
In this article, we investigate the generalized (2+ 1)-dimensional shallow water wave
equation which enables an unidirectional propagation of shallow-water waves. By noticing …
equation which enables an unidirectional propagation of shallow-water waves. By noticing …
[PDF][PDF] An externally perceivable smart leaky-wave antenna based on spoof surface plasmon polaritons
Smart antennas have received great attention for their potentials to enable communication
and perception functions at the same time. However, realizing the function synthesis …
and perception functions at the same time. However, realizing the function synthesis …
Variable-length CNNs evolved by digitized chimp optimization algorithm for deep learning applications
One of the most reliable deep learning approaches for image classification challenges is
deep Conventional Conv neural networks (DCNNs); however, identifying the appropriate …
deep Conventional Conv neural networks (DCNNs); however, identifying the appropriate …
Active sonar image classification using deep convolutional neural network evolved by robust comprehensive grey wolf optimizer
This paper proposes a deep convolutional neural network (DCNN) to design an accurate
active sonar image classifier. In order to have a real-time classifier with low complexity, The …
active sonar image classifier. In order to have a real-time classifier with low complexity, The …
Optimal Operation of Distributed Generations in Four‐Wire Unbalanced Distribution Systems considering Different Models of Loads
The distribution network is generally unbalanced due to the distribution of consumers in
different phases and the different status of their energy consumption. Also, in recent years …
different phases and the different status of their energy consumption. Also, in recent years …
-Band -Plane Waveguide Bandpass Filters Using Spoof Surface Plasmon Polaritons and Grounded Lines
A new design method of-band-plane waveguide bandpass filters (BPFs) has been reported
in this article. The proposed design method is implemented by inserting dielectric substrates …
in this article. The proposed design method is implemented by inserting dielectric substrates …
Application of a machine learning algorithm for evaluation of stiff fractional modeling of polytropic gas spheres and electric circuits
Fractional polytropic gas sphere problems and electrical engineering models typically
simulated with interconnected circuits have numerous applications in physical, astrophysical …
simulated with interconnected circuits have numerous applications in physical, astrophysical …
[HTML][HTML] Machine learning based IoT system for secure traffic management and accident detection in smart cities
In smart cities, the fast increase in automobiles has caused congestion, pollution, and
disruptions in the transportation of commodities. Each year, there are more fatalities and …
disruptions in the transportation of commodities. Each year, there are more fatalities and …