Graph neural network: Current state of Art, challenges and applications
Several areas in science and engineering have the relationships between their underlying
data which can be represented as graphs, for example, molecular chemistry, node …
data which can be represented as graphs, for example, molecular chemistry, node …
[PDF][PDF] A study of android malware detection techniques and machine learning
B Baskaran, A Ralescu - 2016 - academia.edu
Android OS is one of the widely used mobile Operating Systems. The number of malicious
applications and adwares are increasing constantly on par with the number of mobile …
applications and adwares are increasing constantly on par with the number of mobile …
FAMOUS: Forensic Analysis of MObile devices Using Scoring of application permissions
With the emergence of Android as a leading operating system in mobile devices, it becomes
mandatory to develop specialized, predictive and robust security measures to provide a …
mandatory to develop specialized, predictive and robust security measures to provide a …
Bio-inspired hybrid intelligent method for detecting android malware
Today's smartphones are capable of doing much more than the previous generation of
mobile phones. However this extended range of capabilities is coming together with some …
mobile phones. However this extended range of capabilities is coming together with some …
A utility proportional fairness radio resource block allocation in cellular networks
This paper presents a radio resource block allocation optimization problem for cellular
communications systems with users running delay-tolerant and real-time applications …
communications systems with users running delay-tolerant and real-time applications …
Machine learning classifiers for android malware analysis
CCU Lopez, AN Cadavid - 2016 IEEE Colombian Conference …, 2016 - ieeexplore.ieee.org
Android is an operating system which currently has over one billion active users for all their
mobile devices, with a market impact that is influencing an increase in the amount of …
mobile devices, with a market impact that is influencing an increase in the amount of …
Distributed resource allocation
In Chap. 3, we introduced a novel convex utility proportional fairness maximization for
optimal resource allocation in wireless networks and outfitted the optimization with the …
optimal resource allocation in wireless networks and outfitted the optimization with the …
Cellular communications systems in congested environments
This volume addresses the concept of radio resource allocation for cellular communications
systems operating in congested and contested environments with an emphasis on end-to …
systems operating in congested and contested environments with an emphasis on end-to …
A utility proportional fairness resource allocation in spectrally radar-coexistent cellular networks
Spectrum sharing is an elegant solution to addressing the scarcity of the bandwidth for
wireless communications systems. This research studies the feasibility of sharing the …
wireless communications systems. This research studies the feasibility of sharing the …
Utility functions and radio resource allocation
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