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_a10.1007/978-981-97-5501-1 _2doi |
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_aKnowledge Science, Engineering and Management _h[electronic resource] : _b17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part IV / _cedited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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| 300 |
_aXIV, 451 p. 147 illus., 137 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14887 |
|
| 505 | 0 | _a -- 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. | |
| 520 | _aThe 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. | ||
| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 0 | _aComputer engineering. | |
| 650 | 0 |
_aComputer networks . _960157 |
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| 650 | 0 |
_aComputers. _965793 |
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| 650 | 0 |
_aInformation technology _xManagement. _957223 |
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| 650 | 0 |
_aSocial sciences _xData processing. _965741 |
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| 650 | 0 | _aApplication software. | |
| 650 | 1 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 | _aComputer Engineering and Networks. |
| 650 | 2 | 4 |
_aComputing Milieux. _966530 |
| 650 | 2 | 4 |
_aComputer Application in Administrative Data Processing. _966531 |
| 650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _965743 |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 700 | 1 |
_aCao, Cungeng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aChen, Huajun. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aZhao, Liang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aArshad, Junaid. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aAsyhari, Taufiq. _eeditor. _0(orcid)0000-0002-3023-8285 _1https://orcid.org/0000-0002-3023-8285 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aWang, Yonghao. _eeditor. _0(orcid)0000-0002-4924-2508 _1https://orcid.org/0000-0002-4924-2508 _4edt _4http://id.loc.gov/vocabulary/relators/edt _980151 |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789819755004 |
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_iPrinted edition: _z9789819755028 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14887 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-5501-1 |
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