Zobrazeno 1 - 10
of 2 316
pro vyhledávání: '"fault prediction"'
Publikováno v:
Discover Internet of Things, Vol 4, Iss 1, Pp 1-18 (2024)
Abstract Feature selection (FS) plays a crucial role in software fault prediction (SFP), aiming to identify a subset of relevant and discriminative features from a large pool of software metrics. It serves as a critical preprocessing step in building
Externí odkaz:
https://doaj.org/article/1204a3ac2d994cd2a80e53085ba9991f
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 129-136 (2024)
To solve the problem that the poor accuracy of long-term prediction relying on model accuracy for the filter-based prediction method, a fusion fault prediction algorithm based on filter and long short-term memory (LSTM) network is proposed to achieve
Externí odkaz:
https://doaj.org/article/3293fb0dcded403bbca262d9c07d54ad
Autor:
JIAO Haobo
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 3, Pp 62-70 (2024)
Fault prediction technology is of important application value in ensuring the reliable operation of instrument landing system and improving ATC effectiveness. Combining the operation characteristics of instrument landing system and actual operation a
Externí odkaz:
https://doaj.org/article/c46a54af3aec4cdba08509954e259067
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 334-338 (2024)
Objective As an important component of urban rail transit signal equipment, once the switch machine malfunctions, the operation will be seriously affected. Monitoring and predicting its health status is particularly important. Method A fault predicti
Externí odkaz:
https://doaj.org/article/5c4379ceb70040658971258078def947
Publikováno v:
Smart Cities, Vol 7, Iss 3, Pp 1126-1148 (2024)
District heating companies utilize smart meters that generate alarms that indicate faults in their sensors and installations. If these alarms are not tended to, the data cannot be trusted, and the applications that utilize them will not perform prope
Externí odkaz:
https://doaj.org/article/88f5944bd2c9435c98488c48e2c31423
Autor:
Xiang, Hao
Publikováno v:
Journal of Quality in Maintenance Engineering, 2023, Vol. 30, Issue 1, pp. 120-132.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JQME-08-2023-0070
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 1, Pp 363-372 (2024)
Software quality assurance has grown in importance in the fast-paced world of software development. One of trickiest parts of creating and maintaining software is predicting how well it will perform. The term "computer evaluation" refers to use of ad
Externí odkaz:
https://doaj.org/article/841cd543c1834642b99f5bf651aec00e
Publikováno v:
IEEE Access, Vol 12, Pp 121169-121184 (2024)
The rapid growth of the global population, economy, and urbanization is significantly increasing energy consumption, necessitating the integration of renewable energy sources. This integration presents challenges that demand innovative solutions to m
Externí odkaz:
https://doaj.org/article/2343d79f5c7746889d47b53a450a68c1
Autor:
Sureka Sivavelu, Venkatesh Palanisamy
Publikováno v:
IEEE Access, Vol 12, Pp 119958-119972 (2024)
Software fault prediction is a significant task in software development to discover faults early. It is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecti
Externí odkaz:
https://doaj.org/article/706fe5b4a1fe4eb0ad06018fbca0b84d
Autor:
Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh
Publikováno v:
IEEE Access, Vol 12, Pp 105309-105325 (2024)
Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in SFP, enabling the identification of pertinent features for
Externí odkaz:
https://doaj.org/article/bb265f48b02b47bc916ba946dff43c2b