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2. A personalized paper recommendation method based on knowledge graph and transformer encoder with a self-attention mechanism
3. Structure and properties of carbon fiber paper with gradient porous structure
4. Sustainable coatings based on core–shell pigments to enhance antibacterial and other beneficial paper properties
5. PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network
6. A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
7. Preparation of superhydrophobic cellulose aerogel sponge from waste paper and its application in oil-water separation
8. Personalized paper recommendation for postgraduates using multi-semantic path fusion
9. Preparation of PBT@PP-CNC@cellulose wood pulp paper double-layers fuel filtration materials with high efficiency and high dust holding capacity
10. Surface application of different concentrations of chitosan on recycled paper and its impact on packaging properties
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