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Keyword: Prognosis
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10 Pages, 977 KB Download PDF

Prognosis of Failure Events Based on Labeled Temporal Petri Nets

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 432–441, 2020; DOI: 10.25046/aj050354
Abstract:

To reduce the risk of accidental system shutdowns, we propose to control system developers (supervisor, SCADA) a prediction tool to determine the occurrence date of an imminent failure event. The existing approaches report the rate of occurrence of a future failure event (stochastic method), but do not provide an estimation date of its occurrence. The…

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(This article belongs to Section Manufacturing Engineering (EMF))
Open AccessArticle
5 Pages, 856 KB Download PDF

Representation of Clinical Information in Outpatient Oncology for Prognosis Using Regression

Advances in Science, Technology and Engineering Systems Journal, Volume 1, Issue 5, Page # 16–20, 2016; DOI: 10.25046/aj010504
Abstract:

The determination of length of survival, or prognosis, is often viewed through statistical hazard models or with respect to a future reference time point in a classification approach (e.g., survival after 2 or 5 years). In this research, regression was used to determine a patient’s prognosis. Also, multiple behavioral representations of clinical data, including difference…

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(This article belongs to the Special issue on Recent Advances in Electrical and Electronics Engineering 2016 & Section Medicine (MED))
Open AccessArticle
16 Pages, 2,851 KB Download PDF

Explainable AI and Active Learning for Photovoltaic System Fault Detection: A Bibliometric Study and Future Directions

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 3, Page # 29–44, 2025; DOI: 10.25046/aj100305
Abstract:

Persistent anomalies in modern photovoltaic (PV) systems present a formidable challenge, impeding optimal power output and system resilience. Artificial Intelligence (AI) has surfaced as a game-changing solution, yet existing research has merely scratched the surface of solar panel prognosis, leaving a critical void in leveraging AI’s explainable nature and active learning capabilities. This pioneering study…

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(This article belongs to the SP18 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2025) & Section Transportation Science & Technology (TST))

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