Answers are grounded in this paper and cite their sources.
Conceptual framework demonstrates an integrated AI and digital twin architecture for academic libraries, suggesting improved operational efficiency and resource optimization.
This paper proposes a novel AI–Digital Twin framework for smart academic library management by integrating Artificial Intelligence (AI), Digital Twin technology, the Internet of Things (IoT), cloud computing, and RFID systems into a unified intelligent ecosystem. The proposed framework enables real-time monitoring, predictive analytics, resource optimization, personalized user services and evidence-based decision-making while improving collection management, space utilization, security and operational efficiency. It also addresses key implementation challenges, including data privacy, cybersecurity, interoperability, infrastructure and workforce readiness. By presenting a scalable and sustainable model, the study contributes to the advancement of Library and Information Science and provides a strategic roadmap for developing intelligent, user-centric and future-ready academic libraries in the era of digital transformation
No takes yet. Share an insight, caveat, or question.
Sachin Dattatraya Patil (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: