Abstract: Spatio-temporal data are continuously generated and grow exponentially with the rapid proliferation of mobile devices. Efficient storage and indexing of spatio-temporal Big Data are crucial ...
Background: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to undermine care quality and nurse well-being.
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The proliferation of large language models (LLMs) with varying computational costs and performance profiles presents a critical challenge for scalable, cost-effective deployment in real-world ...
Abstract: Robotic navigation system designers prefer optimization-based state estimators for applications that prioritize accurate state estimation over computational efficiency. Unlike ...
Adaptive RAG is an intelligent, end-to-end Retrieval-Augmented Generation (RAG) system powered by agentic AI architecture. It combines dynamic query routing, intelligent document retrieval, and ...
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