Optimizing Predictive Maintenance in Industrial IoT Cloud Using Dragonfly Algorithm

Cloud computing enables users to access and utilize various computing resources over the internet, including servers, storage, databases, and analytics. This paradigm offers flexibility, scalability, and cost efficiency, making it a critical technology for numerous applications. In the realm of the...

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Bibliographic Details
Published in:	IEEE internet of things journal Vol. 12; no. 17; pp. 36001 - 36018
Main Authors:	Rani S, Sheeja, AbuRukba, Raafat, El-Fakih, Khaled
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Brokenstick regression multiobjective dragonfly optimization cloud Cloud computing Data analysis Data collection Downtime Error analysis Error reduction Fault diagnosis Heuristic methods Industrial applications Industrial Internet of Things Industrial IoT Internet of Things Machine learning algorithms Maintenance Multiple objective analysis Optimization Prediction algorithms Predictive maintenance predictive maintenance optimization Real-time systems Recall Scalability
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
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