Knowledge science, engineering and management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, proceedings. Part II / Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang, editors.

International conference proceedings.

Includes author index.

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.

-- Knowledge Engineering Research and Applications (KERA). -- Research on Node Cluster Analysis in Brain Connection Data. -- A New Emotion Classification Method Based on JAN-VMD. -- Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. -- MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. -- Bio-Inspired Feature Selection via An Improved Binary Golden Jackal Optimization Algorithm. -- Dynamic Reliability-optimised and Energy-efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. -- A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. -- A novel online sequential learning algorithm for ELM based on optimal control. -- DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. -- Variational Loss of Random Sampling for Searching Cluster Number. -- DVDNER: Dual-view Learning Named Entity Recognition via Diffusion. -- Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. -- SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. -- Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. -- Feature Matching Based Heterogeneous Transfer Learn-ing for Student Performance Prediction. -- Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. -- Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. -- A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. -- AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. -- Research on Key Node Cluster Identification Algorithm based on Louvain and Cycle Ratio. -- Uncertain $k$ center Clustering, Revisited: Point Assignment. -- DPSPC: A Density Peak-based Statistical Parallel Clustering Algorithm for Big Data. -- Insert Commonsense Knowledge through Semantics for Dialogue Generation. -- Entity Set Expansion based on Category Prompts in MOOCs. -- ViT Hybrid Channel Fit Pruning Algorithm for Co-Optimization of Hardware and Software for Edge Device. -- Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. -- Improving Image Captioning with Image Concepts of Words. -- M HGN: Multi information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. -- A Student Performance Prediction Model Based on Feature Factor Transfer. -- A Binary Multi-objective Grey Wolf Optimization for Feature Selection. -- CS Net: A Coarse-to-fine-grained Summarization Network for Community-based Question Answering Summarization. -- AutoIE: An Automated Framework for Information Extraction from Scientific Literature. -- Adaptive Density Peak Clustering with Optimized Border-peeling. -- Efficient Affinity Propagation Clustering Based on Szemer´edi's Regularity Lemma.

Online resource; title from PDF title page (SpringerLink, viewed July 31, 2024).