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000 nam5i
001 2210080934599
003 DE-He213
005 20250321105415
007 cr nn 008mamaa
008 240725s2024 si | s |||| 0|eng d
020 a97898197549229978-981-97-5492-2
024 a10.1007/978-981-97-5492-22doi
040 a221008
050 aQ334-342
050 aTA347.A78
072 aUYQ2bicssc
072 aCOM0040002bisacsh
072 aUYQ2thema
082 a006.3223
245 00 aKnowledge Science, Engineering and Managementh[electronic resource] :b17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part I /cedited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aXIII, 449 p. 136 illus., 124 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aLecture Notes in Artificial Intelligence,x2945-9141 ;v14884
505 a -- Knowledge Science with Learning and AI (KSLA). -- A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. -- Elastic Filter Prune in Deep Neural Networks using Modified Weighted Hybrid Criterion. -- EE LCE: An Event Extraction Framework Based on LLM Generated CoT Explanation. -- Attention and Learning Features enhanced Knowledge Tracing. -- An MLM Decoding Space Enhancement for Legal Document Proofreading. -- Meta Pruning: learning to prune on few shot learning. -- Knowledge informed Molecular Learning: A Survey on Paradigm Transfer. .-GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. -- DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. -- Programming Knowledge Tracing with Context and Structure Integration. -- An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic. -- Multi-Label Feature Selection with Adaptive Subspace Learning. -- User Story Classification with Machine Learning and LLMs. -- PTMA: Pre-trained Model Adaptation for Transfer Learning. -- Optimization Strategies for Knowledge Graph Based Distractor Generation. -- Reinforced Subject-aware Graph Neural Network for Related Work Generation. -- EFCC IeT: Cross-modal Electronic File Content Correlation via Image-enhanced Text. -- Multi relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. -- Link prediction based on deep global information in heterogeneous graph. -- Subject Knowledge Entity Relationship Extraction Based on Multi-Feature Fusion and Relation Specific Horns Tagging. -- A Human Computer Negotiation Model Based on Q-Learning. -- Affine Transformation-Based Knowledge Graph Embedding. -- Integrating Prior Scenario Knowledge for Composition Review Generation. -- Distant supervised relation extraction on pre-train model with improved multi-label attention mechanism. -- sEMG-based Multi-View Feature-Constrained Representation Learning. -- Vicinal Data Augmentation for Classification Model via Feature Weaken. -- STM an Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. -- Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. -- Automatic Meter Pointer Reading Based on Knowledge Distillation. -- Multi-Table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. -- A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. -- An In Context Schema Understanding Method for Knowledge Base Question Answering. -- Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition.
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 aArtificial intelligence.
650 aComputer engineering.
650 aComputer networks .
650 aComputers.
650 aInformation technologyxManagement.
650 aSocial sciencesxData processing.
650 aApplication software.
650 aArtificial Intelligence.
650 aComputer Engineering and Networks.
650 aComputing Milieux.
650 aComputer Application in Administrative Data Processing.
650 aComputer Application in Social and Behavioral Sciences.
650 aComputer and Information Systems Applications.
700 aCao, Cungeng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aChen, Huajun.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aZhao, Liang.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aArshad, Junaid.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aAsyhari, Taufiq.eeditor.0(orcid)0000-0002-3023-82851https://orcid.org/0000-0002-3023-82854edt4http://id.loc.gov/vocabulary/relators/edt
700 aWang, Yonghao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819754915
776 iPrinted edition:z9789819754939
830 aLecture Notes in Artificial Intelligence,x2945-9141 ;v14884
856 uhttps://doi.org/10.1007/978-981-97-5492-2
912 aZDB-2-SCS
912 aZDB-2-SXCS
912 aZDB-2-LNC
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Knowledge Science, Engineering and Management[electronic resource] :17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part I /edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Material type
전자책
Title
Knowledge Science, Engineering and Management[electronic resource] :17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part I /edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Author's Name
판 사항
1st ed. 2024.
Physical Description
XIII, 449 p 136 illus, 124 illus in color online resource.
Keyword
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.
내용주기
/ Knowledge Science with Learning and AI (KSLA). / A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. / Elastic Filter Prune in Deep Neural Networks using Modified Weighted Hybrid Criterion. / EE LCE: An Event Extraction Framework Based on LLM Generated CoT Explanation. / Attention and Learning Features enhanced Knowledge Tracing. / An MLM Decoding Space Enhancement for Legal Document Proofreading. / Meta Pruning: learning to prune on few shot learning. / Knowledge informed Molecular Learning: A Survey on Paradigm Transfer. .-GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. / DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. / Programming Knowledge Tracing with Context and Structure Integration. / An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic. / Multi-Label Feature Selection with Adaptive Subspace Learning. / User Story Classification with Machine Learning and LLMs. / PTMA: Pre-trained Model Adaptation for Transfer Learning. / Optimization Strategies for Knowledge Graph Based Distractor Generation. / Reinforced Subject-aware Graph Neural Network for Related Work Generation. / EFCC IeT: Cross-modal Electronic File Content Correlation via Image-enhanced Text. / Multi relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. / Link prediction based on deep global information in heterogeneous graph. / Subject Knowledge Entity Relationship Extraction Based on Multi-Feature Fusion and Relation Specific Horns Tagging. / A Human Computer Negotiation Model Based on Q-Learning. / Affine Transformation-Based Knowledge Graph Embedding. / Integrating Prior Scenario Knowledge for Composition Review Generation. / Distant supervised relation extraction on pre-train model with improved multi-label attention mechanism. / sEMG-based Multi-View Feature-Constrained Representation Learning. / Vicinal Data Augmentation for Classification Model via Feature Weaken. / STM an Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. / Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. / Automatic Meter Pointer Reading Based on Knowledge Distillation. / Multi-Table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. / A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. / An In Context Schema Understanding Method for Knowledge Base Question Answering. / Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition.
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