Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Hefny, Hesham A."'
Cybersecurity is a big challenge as hackers are always trying to find new methods to attack and exploit system vulnerabilities. Cybersecurity threats and risks have increased in recent years, due to the increasing number of devices and networks conne
Externí odkaz:
http://arxiv.org/abs/2407.19222
Publikováno v:
International Journal of Computer Networks & Communications (IJCNC) Vol.14, No.4, July 2022
Vehicle-to-Everything communications (V2X) are becoming increasingly popular as a solution for safer roads and better traffic management. One of the essential protocols in V2X is the Dedicated Short Range Communication (DSRC) protocol suite. DSRC inc
Externí odkaz:
http://arxiv.org/abs/2208.04860
Publikováno v:
International Journal of Computer Networks & Communications (IJCNC) Vol.14, No.2, March 2022
One of the primary challenges facing the Internet of Things is the reservation and efficient consumption of energy resources, especially in those types of applications that require continuous monitoring or suffer from lacking ongoing energy resources
Externí odkaz:
http://arxiv.org/abs/2204.05739
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part A
Akademický článek
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Publikováno v:
International Journal of Computer Applications (09758887), Volume 160, No 3, February 2017
Classification predicts classes of objects using the knowledge learned during the training phase. This process requires learning from labeled samples. However, the labeled samples usually limited. Annotation process is annoying, tedious, expensive, a
Externí odkaz:
http://arxiv.org/abs/1706.00996
Publikováno v:
Data Mining And Knowledge Engineering, 9(5), 99-103 (2017)
This Paper represents a literature review of Swarm intelligence algorithm in the area of semi-supervised classification. There are many research papers for applying swarm intelligence algorithms in the area of machine learning. Some algorithms of SI
Externí odkaz:
http://arxiv.org/abs/1706.00998
This paper presents the local best model of PSO for partition-based clustering. The proposed model gets rid off the drawbacks of gbest PSO for clustering. The model uses a pre-specified number of clusters K. The LPOSC has K neighborhoods. Each neighb
Externí odkaz:
http://arxiv.org/abs/1706.00997
Publikováno v:
In Artificial Intelligence In Medicine January 2020 102
Akademický článek
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