Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Haiyu Hou"'
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Purpose Explore the effect of blastomere cell number on ART outcome of fresh embryo transfer on day 3. Methods Retrospective analysis of 540 fresh single day 3 embryo transfer cycles at the Reproductive Center of the Third Affiliated Hospita
Externí odkaz:
https://doaj.org/article/e6a52f55340d48488b21c53dadae8bf1
Publikováno v:
Applied Soft Computing. 7:547-553
Artificial immune systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). In this paper, we compare a genetic hacker with 12 evolutionary hackers based on particle swarm optimiz
Publikováno v:
SPIE Proceedings.
With the emergence of the IEEE1451 standard, the development of smart sensor becomes more important to the manufacture of sensor. IEEE1451 standard is a set of standards that were established to address smart sensor systems and to develop a comprehen
Autor:
Gerry Dozier, Haiyu Hou
Publikováno v:
ACM Southeast Regional Conference
The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly detection application. This algorithm has been implemented with different pattern representations and various matching rules and successfully applied to a broad range of
Autor:
Gerry Dozier, Haiyu Hou
Publikováno v:
SAC
The GENERTIA red team uses a genetic algorithm to perform vulnerability analysis in an effort to discover holes in an intrusion detection system. This paper demonstrates how a GENERTIA blue team generates detectors to patch those holes discovered by
Autor:
Haiyu Hou, Gerry Dozier
Publikováno v:
IEEE Congress on Evolutionary Computation
Artificial immune systems can be used to detect intrusion by classifying network activities as normal or abnormal. High detection rates and low false positive rates are two necessary features of successful AIS. Strong detectors are the basis of creat
Publikováno v:
Proceedings of the 5th Biannual World Automation Congress.
In this paper, an artificial immune system (AIS) is used to detect abnormality in a computer network in an effort to provide protection from illegal intrusion and unauthorized use. The problem of anomaly detection can be addressed as the problem of d
Autor:
Haiyu Hou, Dozier, G.
Publikováno v:
2006 IEEE International Conference on Evolutionary Computation; 2006, p2238-2245, 8p
Akademický článek
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