Knowledge Science, Engineering and Management

17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part II

AvCungeng Cao,Huajun Chen

Häftad, Engelska, 2024

Del 14885 i serien Lecture Notes in Computer Science

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Beskrivning

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 TechnologyVolume V: Special Tracks

Produktinformation

Utgivningsdatum:2024-07-26
Mått:155 x 235 x 26 mm
Vikt:721 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:464
Förlag:Springer Verlag, Singapore
ISBN:9789819754946

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

.- 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.