Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 1618, 2024, Proceedings, Part I [Paperback]

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 1618, 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

.- 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 Learnlƒ)