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2. A personalized paper recommendation method based on knowledge graph and transformer encoder with a self-attention mechanism
3. Paper-Based Solid-State Micro-supercapacitors Fabricated by Hydrophobic Wax Barrier Printing
4. CutGAN: dual-Branch generative adversarial network for paper-cut image generation
5. Classification-driven intelligent system for automated evaluation of higher education exam paper quality
6. Identification of Low Concentrations of Flucytosine Drug Using a Surface-Enhanced Raman Scattering (SERS)-Active Filter Paper Substrate
7. Structure and properties of carbon fiber paper with gradient porous structure
8. Sustainable coatings based on core–shell pigments to enhance antibacterial and other beneficial paper properties
9. PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network
10. Production of Mycelium-Based Papers from Carrot Pomace and Their Potential Applications for Dye Removal
11. Bioethanol Production from Paper Sludge by Subcritical Water Pretreatment and Semi-simultaneous Saccharification and Fermentation
12. A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
13. Biodegradable Stone Paper as a Sustainable Alternative to Traditional Paper: A Review
14. Scaling-Up Production of Recycled Paper/Starch–Citric Acid Biocomposite Sheets with Improved Attributes for Sustainable Packaging Applications: From Waste to Resource
15. Automatically organizing papers in conference sessions using deep learning and network modeling
16. Preparation of superhydrophobic cellulose aerogel sponge from waste paper and its application in oil-water separation
17. High Surface Area Assemblies of Gold Nanoparticles on Hydrophilic Carbon Fiber Paper with Ionomer Overlayers for Aqueous CO2 Reduction Electrocatalysis to Clean Syngas
18. Personalized paper recommendation for postgraduates using multi-semantic path fusion
19. Multi-modal hierarchical fusion network for fine-grained paper classification
20. Preparation of PBT@PP-CNC@cellulose wood pulp paper double-layers fuel filtration materials with high efficiency and high dust holding capacity
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