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  1. Keyword search on incomplete graphs based on an improved aggregation mechanism and graph autoencoder

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  2. CHGRec: causal heterogeneous graph-enhanced medication recommendation with personalized refinement

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  3. Dynamic monitoring of farmland non-grain conversion based on transformer and multi-source spatiotemporal features

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  4. Hybrid diffusion-xLSTM framework for time-series prediction

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  5. Spark-based DBSCAN++ for efficient density-based clustering

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  6. Explainable yoga pose correction: a data-centric framework using SHAP-driven pose-specific feature analytics

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  7. KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems

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  8. VisYogaNet: visibility-guided lightweight network for yoga pose recognition

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  9. Natural language processing for mental health assessment: a survey and comparative evaluation

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  10. Predicting the future of healthcare costs: a review of healthcare contract cost forecasting for hospital management

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  11. Hybridizing AVOA and HHO for robust data clustering: a novel optimization framework

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  12. LUMR: leveraging user decision processes to model unknowns in recommendation system

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  13. An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection

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  14. The influence of missing data mechanisms and simple missing data handling techniques on fairness

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  15. Dynamic bipartite graph analysis for the systematic estimation of temporal dynamics parameters for graph-based recommender systems

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  16. Sicilian Wine’s Effect on Consumers’ Identity-Behavioral Intentions: The Mediation Effect of Subjective Norms and Social Activity

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  17. Nutrient Balance and Fertilizer Use Efficiency in Swedish Vineyards

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  18. The Influence of Conventional and Biodynamic Winemaking Processes on the Quality of Sangiovese Wine

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  19. Wine Index of Salubrity and Health (WISH): an evidence-based instrument to evaluate the impact of good wine on well-being

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