Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shoushuai, He"'
Publikováno v:
IEEE Access, Vol 7, Pp 5984-5993 (2019)
Gravitational search algorithm (GSA) is a population-based heuristic algorithm, which is inspired by Newton’s laws of gravity and motion. Although GSA provides a good performance in solving optimization problems, it has a disadvantage of premature
Externí odkaz:
https://doaj.org/article/dd2d0d94d05d4bffbcf1af461088b10f
Publikováno v:
IEEE Access, Vol 7, Pp 114440-114448 (2019)
Feature selection is an important issue in the field of machine learning, which can reduce misleading computations and improve classification performance. Generally, feature selection can be considered as a binary optimization problem. Gravitational
Externí odkaz:
https://doaj.org/article/7ea8ac59c6864ee69c58d88a303db62a
Autor:
Zhen, Qin, Shoushuai, He, Hai, Wang, Yuben, Qu, Haipeng, Dai, Fei, Xiong, Zhenhua, Wei, Hailong, Li
Publikováno v:
China Communications Magazine; 2024, Vol. 21 Issue: 5 p1-16, 16p
Publikováno v:
Wireless Communications and Mobile Computing.
Wireless communication signals are often affected by noise and interference in the channel during transmission, which makes it difficult for the receiver to analyze. The signal enhancement technology can suppress the noise and interference in the sig
Publikováno v:
Wireless Communications and Mobile Computing.
With the rapid growth of wireless devices, the communication environment gets complex. The detection of interference or unauthorized signals can improve spectrum efficiency, which is a key technology for limited spectrum resources. Traditional detect
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030242671
ICAIS (4)
ICAIS (4)
With the rapid development of the Internet, more and more services are emerging on the Internet, but it also brings a lot of security risks. Scanning the services on the network by sending probe packets, user can know which host opens a specific serv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00259df478526a0145d12f559d5b3dd6
https://doi.org/10.1007/978-3-030-24268-8_5
https://doi.org/10.1007/978-3-030-24268-8_5