- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
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
Contents
.- 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.
