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Author

Sohail Sayed

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#large language models Open access Sep 2026

Retrieval-Augmented Large Language Models for Real-Time Supply Chain Disruption Intelligence and Decision Support

Large language models offer unprecedented analytical capability, but their knowledge is frozen at the last training date — rendering them unusable for organizations whose mission depends on emerging, timely information [1]. This paper argues that retrieval-augmented generation is the missing mechanism that converts LLM...

Sohail Sayed, Nauman Sayed · 0 citations
#federated learning Open access Sep 2026

FedSCORE-PP: A Federated and PrivacyPreserving Machine Learning Framework for Collaborative Supply Chain Risk Prediction Across Organizations

Global supply chains are increasingly exposed to disruptions whose effects propagate across organizational boundaries, yet the data needed to predict such risks is fragmented among firms reluctant to share it for competitive, contractual, and regulatory reasons. Centralized machine learning therefore under-utilizes col...

Sohail Sayed, Nauman Sayed · 0 citations

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