Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
Abstract: A multi-target model can simultaneously monitor the changing trends of multiple related parameters, which plays a crucial role in achieving intelligent perception and decision-making in the ...
Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
This folder contains a python implementation of a SItD (susceptible-infected-deceased) compartmental epidemiological model structured by infectious age. The code ...
Copyright: © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Considering epidemiological ...
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