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024 7 _a10.1007/978-981-97-5492-2
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245 1 0 _aKnowledge Science, Engineering and Management
_h[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 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 449 p. 136 illus., 124 illus. in color.
_bonline resource.
336 _atext
_btxt
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14884
505 0 _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 0 _aArtificial intelligence.
_958441
650 0 _aComputer engineering.
650 0 _aComputer networks .
_960157
650 0 _aComputers.
_965793
650 0 _aInformation technology
_xManagement.
_957223
650 0 _aSocial sciences
_xData processing.
_965741
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.
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700 1 _aChen, Huajun.
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_981310
700 1 _aZhao, Liang.
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_981311
700 1 _aArshad, Junaid.
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700 1 _aAsyhari, Taufiq.
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700 1 _aWang, Yonghao.
_eeditor.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-981-97-5492-2
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