Computer Science
PhD
Exploring AI-Driven Digital Twins Enabling Intelligent Manufacturing in Industry 5.0 for Predictive Maintenance.
Research Overview
With simulation modelling and machine learning, an industrial case study will be conducted in this study. The purpose of this study is to explore the integration of AI and Digital Twins to improve manufacturing efficiency, optimise predictive maintenance and ultimately reduce downtime.
What is included in this framework?
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Editable Word Document
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Recent Peer-Reviewed Sources
Includes a literature review utilizing high-impact academic journals.
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Methodology Design
Detailed justification of the chosen research approach and data collection methods.
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Strict Academic Formatting
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