„Data Retrieval Model“
Suchergebnisse
1.287 Treffer
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Towards a Reference Model for an Information Extraction Lifecycle supporting Data Collection, Data Preparation, Information Extraction, Information Organization, Knowledge Organization, Information Access and Retrieval
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ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval
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Metahuman Synthetic Dataset for Optimizing 3D Model Skinning
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Topology analysis and evolution trend prediction of secure propagation networks for short videos based on digital twin model
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Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model
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Spatiotemporal trust evaluation using a neutrosophic model under sensor uncertainty
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A survey on retrieval-augmentation generation (RAG) models for healthcare applications
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Enterprise financial risk prediction model based on modified machine learning classifier algorithms
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A new stemming model based on data generation to enhance Arabic information retrieval
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Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation
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LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction
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Compact and efficient language modeling for classical poetry: generation and interpretation
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Large Language Models for Information Retrieval: Challenges and Chances
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Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations
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Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV – Special Issue on Data Management - Principles, Technologies, and Applications
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Transactions on Large-Scale Data- and Knowledge-Centered Systems LII
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Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI – Special Issue on Data Management - Principles, Technologies, and Applications
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Integrating Taiwan financial BERT sentiment analysis with CNN-BiLSTM-SA model for stock prediction
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A life cycle model of IoT for higher education based on student and market needs
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Deep learning based remote sensing technique for environmental parameter retrieval and data fusion from physical models