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Modern Data-Driven Strategies for Enhancing Reliability and Efficiency in Predictive Maintenance of Shipyard Infrastructure Cover

Modern Data-Driven Strategies for Enhancing Reliability and Efficiency in Predictive Maintenance of Shipyard Infrastructure

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By: Vijaya Kumar Chava,  Vijaya Geeta Dharmavaram and  Vinil Chowdhary Chava  
Open Access
|May 2026
Authors

Authors

Vijaya Kumar Chava

vchava@gitam.in

Department of Information Systems, GITAM School of Business, GITAM Deemed to be University, Visakhapatnam, India

Vijaya Geeta Dharmavaram

Department of Information Systems, GITAM School of Business, GITAM Deemed to be University, Visakhapatnam, India

Vinil Chowdhary Chava

Department of Computer Science and Engineering, GITAM School of Computer Science and Engineering, GITAM Deemed to be University, Visakhapatnam, India
DOI: https://doi.org/10.2478/ijssis-2026-0020 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Aug 18, 2025
Published on: May 2, 2026
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
predictive maintenance,
innovative intelligent strategies,
deep learning,
machine learning,
bidirectional long short-term memory,
spatial pyramid attention network
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 Vijaya Kumar Chava, Vijaya Geeta Dharmavaram, Vinil Chowdhary Chava, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)
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