Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Dennis Edwards"'
Publikováno v:
Cyber Security Intelligence and Analytics ISBN: 9783030978730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::560f5b69a1deeaba4a5f10106ff25cac
https://doi.org/10.1007/978-3-030-97874-7_56
https://doi.org/10.1007/978-3-030-97874-7_56
Publikováno v:
The journal of knee surgery. 32(6)
The presentation and clinical course of mucoid degeneration of the anterior cruciate ligament (MD-ACL) are poorly documented within the literature. Subsequently, it is under-diagnosed and the optimal management strategy remains ill-defined. Here, we
Publikováno v:
IEEE Systems Journal. 8:1086-1095
In this paper, we propose a multiagent methodology (MAM) for power system monitoring and protection. The uniqueness of the proposed architecture is the ability of MAM to evolve in the wake of an attack of malicious intent by mutation, thus always mon
Publikováno v:
Journal of Software Maintenance and Evolution: Research and Practice. 18:457-474
Software engineers who maintain and enhance large systems often encounter the feature location problem: where in the many thousands of lines of code is a particular user feature implemented? Several methods of addressing the problem have been propose
Publikováno v:
Scientific Programming, Vol 14, Iss 2, Pp 151-170 (2006)
Capturing and examining the causal and concurrent relationships of a distributed system is essential to a wide range of distributed systems applications. Many approaches to gathering this information rely on trace files of executions. The information
Publikováno v:
Journal of Systems and Software. 79:57-68
This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a particular feature for an end user. A feature is located by observing sys
Publikováno v:
2011 IEEE Power and Energy Society General Meeting.
In this paper, we propose a multi-agent methodology (MAM) for power system monitoring and protection. The uniqueness of the proposed architecture is the ability of MAM to evolve in the wake of an attack of malicious intent by mutation and thus always
Publikováno v:
IEEE PES General Meeting.
In this paper, we propose a novel self-evolving multi-agent methodology (MAM) for power system monitoring and protection. The uniqueness of the proposed architecture is the ability of MAM to evolve in the wake of an attack of malicious intent by muta