06608nam a22006975i 4500 978-981-97-5492-2 DE-He213 20251030112651.0 cr nn 008mamaa 240725s2024 si | s |||| 0|eng d 9789819754922 978-981-97-5492-2 10.1007/978-981-97-5492-2 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema 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. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 449 p. 136 illus., 124 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Artificial Intelligence, 2945-9141 ; 14884 -- 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. 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. Artificial intelligence. 58441 Computer engineering. Computer networks . 60157 Computers. 65793 Information technology Management. 57223 Social sciences Data processing. 65741 Application software. Artificial Intelligence. 58441 Computer Engineering and Networks. Computing Milieux. 66530 Computer Application in Administrative Data Processing. 66531 Computer Application in Social and Behavioral Sciences. 65743 Computer and Information Systems Applications. Cao, Cungeng. editor. edt http://id.loc.gov/vocabulary/relators/edt 81309 Chen, Huajun. editor. edt http://id.loc.gov/vocabulary/relators/edt 81310 Zhao, Liang. editor. edt http://id.loc.gov/vocabulary/relators/edt 81311 Arshad, Junaid. editor. edt http://id.loc.gov/vocabulary/relators/edt 81312 Asyhari, Taufiq. editor. (orcid)0000-0002-3023-8285 https://orcid.org/0000-0002-3023-8285 edt http://id.loc.gov/vocabulary/relators/edt 81313 Wang, Yonghao. editor. (orcid)0000-0002-4924-2508 https://orcid.org/0000-0002-4924-2508 edt http://id.loc.gov/vocabulary/relators/edt 80151 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819754915 Printed edition: 9789819754939 Lecture Notes in Artificial Intelligence, 2945-9141 ; 14884 https://doi.org/10.1007/978-981-97-5492-2 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 61926 61926