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Knowledge science, engineering and management = 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024 : proceedings.. Part IV /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Knowledge science, engineering and management/ edited by Cungeng Cao ... [et al.].
其他題名:	17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024 : proceedings.
其他題名:	KSEM 2024
其他作者:	Cao, Cungeng.
團體作者:	KSEM (Conference)
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xiv, 451 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Knowledge acquisition (Expert systems) - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-97-5501-1
ISBN:	9789819755011

Knowledge science, engineering and management = 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024 : proceedings.. Part IV /
Knowledge science, engineering and management17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024 : proceedings.Part IV /[electronic resource] :KSEM 2024edited by Cungeng Cao ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xiv, 451 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,148871611-3349 ;. - Lecture notes in computer science ;14887..

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.

ISBN: 9789819755011

Standard No.: 10.1007/978-981-97-5501-1doiSubjects--Topical Terms:

576358
Knowledge acquisition (Expert systems)
--Congresses.

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.331

Knowledge science, engineering and management = 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024 : proceedings.. Part IV /
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