Author

Manal Rahal

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Data-Centric Machine Learning for Reliable Industrial Systems: Approaches to Data-Centric Challenges in Industrial ML

This research demonstrates that reliable industrial ML is achieved not by increasing model complexity, but through systematic data-centric practices including structured data preparation, quality-aware pipelines, robustness testing, and adaptive learning, applied across two complementary industrial domains.

Manal Rahal · 0 citations