Knowledge science, engineering and management Part 4
.- Emerging Technology. .- Integrated geologic terms and dual model for Chinese geological word segmentation. .- Random Virtual Embeddings Bootstrap High-degree Item Diffusion for Recommendation. .- Contrastive Learning for Money Laundering Detection: Node- Subgraph-Node Method with Context Aggre...
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| Weitere Verfasser: | , , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2024
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| Schriftenreihe: | Lecture notes in computer science
14887 |
| Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Computer Science
> COMPUTERS / Hardware / General
> Computer hardware
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> Computerhardware
> Information technology: general issues
> Informationstechnik (IT), allgemeine Themen
> Künstliche Intelligenz
> Social research & statistics
> Konferenzschrift
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| Online Zugang: | Cover |
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| Zusammenfassung: | .- Emerging Technology. .- Integrated geologic terms and dual model for Chinese geological word segmentation. .- Random Virtual Embeddings Bootstrap High-degree Item Diffusion for Recommendation. .- Contrastive Learning for Money Laundering Detection: Node- Subgraph-Node Method with Context Aggregation and Enhancement Strategy. .- GCCR: GAT-Based Category-aware Course Recommendation. .- Exploring Word Composition Knowledge In Language Usages. .- L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation. .- Adversarial attacks on Large Language Models. .- Enhancing Question Embedding with Relation Chain for Multi-hop KGQA. .- IIU: Independent Inference Units for Knowledge-based Visual Question Answering. .- Research on Blockchain-Based Trustworthy Data Sharing and Privacy Data Protection Mechanism. .- A Hierarchical Neural Task Scheduling Algorithm in The Operating System of Neuromorphic Computers. .- Efficient Data Asset Right Provenance for Data Asset Trading Based on Blockchain. .- CGCL: A Novel Collaborative Graph Contrastive Learning Network for Chinese NER. .- Scalable attack on graph data by important nodes. .- WaveSegNet: Wavelet Transform and Multi-Scale Focusing Network for Scrap Steel Segmentation. .- Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning. .- Enhancing Pet Health Record Security through RSA-Encrypted NFTs and Smart Contracts on the Blockchain. .- A Blockchain-Based Secure ADS-B System. .- An Emotion-Aware Human-Computer Negotiation Model Powered by Pretrained Language Model. .- Feature Re-enhanced Meta-Contrastive Learning for Recommendation. .- ANGCN:Adaptive Neighborhood-awareness for Recommendation. .- The study of named entity identification in Chinese electronic medical records based on multi-tasking. .- A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue. .- Integrating Blockchain and RSA-Encrypted NFTs for Enhanced Digital Knowledge Management. .- An Effective RSP Data Sampling Algorithm. .- Rationality of Thought Improves Reasoning in Large Language Models. .- NFTMosaic: Piecing Together Assets in a Unified Blockchain Token. .- Global Context Enhanced Multi-Granularity Intent Networks for Session-based Recommendation. .- Enhancing Electoral Integrity: A Comprehensive Study of Blockchain-Enabled Voting on EVM Platforms. .- AutoLabel: Automated Textual Data Annotation Method based on Active Learning and Large Language Model. .- KDTSS: A Blockchain-based Scheme for Knowledge Data Traceability and Secure Sharing. .- A Joint Client-Server Watermarking Framework for Federated Learning. .- Robust Representation Learning for Image Clustering. The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16-18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xiv, 451 Seiten Illustrationen, Diagramme |
| ISBN: | 9789819755004 978-981-97-5500-4 |