Knowledge Science, Engineering and Management (eBook, PDF)

17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part IV
Redaktion: Cao, Cungeng; Wang, Yonghao; Asyhari, Taufiq; Arshad, Junaid; Zhao, Liang; Chen, Huajun

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 451
• Erscheinungstermin: 26. Juli 2024
• Englisch
• ISBN-13: 9789819755011
• Artikelnr.: 72240597

Inhaltsangabe

.- 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.