In this work, a data-driven framework based on digital model is proposed to predict the remaining useful life (RUL) of aero-engines. An encoder-decoder structure is applied to generate a hidden ...

Subsequently, we introduce a multi-module data-driven framework for network traffic prediction to effectively cater to diverse data types and downstream task requirements. A case study of cellular ...

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This work provides a robust, validated Tg prediction tool, elucidates critical structure–property relationships, and establishes a transferable framework for data-driven materials design, advancing ...