Buch, Englisch, 590 Seiten, Format (B × H): 155 mm x 235 mm
41st CCF National Conference of Computer Applications, CCF NCCA 2026, Wuhan, China, August 7–10, 2026, Proceedings
Buch, Englisch, 590 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-981-9282-47-0
Verlag: Springer
This book constitutes the refereed proceedings of the 41st CCF National Conference of Computer Applications, CCF NCCA 2026, held in Wuhan, China, during August 8–10, 2026.
The 32 full papers presented in this book were carefully selected and reviewed from 255 submissions. These papers have been organized in the following topical sections: Basic Theory and Techniques for Data Science; Big Data Management and Applications; Big Data Mining and Knowledge Management; Machine Learning for Data Science; Data Security and Privacy; Applications of Data Science; Multimedia Data Management and Analysis; Data-driven Scientific Research; Data-driven Bioinformatics; Data-driven Healthcare; Data-driven Management; Social Media and Recommendation Systems; Novel methods for data analytics; Novel methods or tools for data visualization; Education using big data, intelligent computing or data mining, etc; Engineering; and Data-driven Smart City/Planet.
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Research
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Fachgebiete
Weitere Infos & Material
.- Basic Theory and Techniques for Data Science.
.- FILT-KGC: Filtering Candidates for Knowledge Graph Completion with LLMs Fine-Tuned with Paths and Triples.
.- Big Data Management and Applications.
.- CTGPSO-RF: A Chaotic–Tent Gaussian PSO for Stable Random Forest Hyperparameter. Optimization Across Multiple Datasets.
.- Big Data Mining and Knowledge Management.
.- A Metric-Based Multidimensional Axiomatic Fuzzy Set Knowledge Graph Question Answering Model.
.- TriRank: A ThreeStage Listwise Document Reranking Framework via Summarization and Relevance Assessment.
.- A Generative Text Summarization Method Based on Inter-Sentence Graph Structure and Retrieval Augmentation.
.- A Knowledge-Graph-Based MultiAgent Collaboration Framework for Intelligent Alarm Handling in Power Information System Operation and Maintenance.
.- Machine Learning for Data Science.
.- A Motor Fault Domain Adaptation Diagnosis Method Under Varying Operating Conditions Based on WDCNN-DANN.
.- CodeBots: Automating Code Review Activities in Fork-Based Development.
.- Open Intent Classification with Local-Neighbor Contrastive Learning and Ellipsoidal Boundaries.
.- Improving Tibetan Document Image Machine Translation with Document Description Augmentation.
.- A Study on Document-Level Hindi-Chinese Machine Translation via English Pivoting.
.- AcuBQA: A RAG-based Bilingual Acupuncture QA System via Domain-Specific Fine-tuning
.- Emotional Multiagent Collaboration (EMAC): A Novel Affective Framework for Enhancing Coordination and Adaptability in Multiagent Systems.
.- Data Security and Privacy.
.- Origin-Bound Tokenized Revocable RLWE-Based KP-ABE for Structured Access Control in Gateway-Assisted IoT/IoMT.
.- Applications of Data Science.
.- Adaptive Multi-Graph Spatiotemporal Network for Short-Term Wind Power Forecasting.
.- Knowledge Graph-Enhanced Question Answering System for the Finance and Taxation Domain: An Improved GraphRAG Framework.
.- Multimedia Data Management and Analysis.
.- Explainable Speech Emotion Recognition with Neuro-Symbolic Learning and Symbolic Rule Constraints.
.- Data-driven Scientific Research.
.- Composite CSI-Driven Adaptive APD Gain Control for RoFSO Turbulence Links.
.- Smart 3D Exploration for Architectural Heritage Modeling by UAV: A Case Study.
.- Data-driven Bioinformatics.
.- MaskAF-GAT: Masked Autoregressive Flow and Relational Graph Attention for Molecular Generation.
.- WaveMS-MPNN: A Wavelet-Based Multiscale Message Passing Neural Network for Molecular Property Prediction.
.- Data-driven Healthcare.
.- UNeXt-ID: A Lightweight Network for Skin Cancer Segmentation with Inception and Depthwise-Separable Convolutions.
.- Efficient Medical Dialogue Generation for Standardized Patient Simulation Using a TripleBlockMask-Optimized Large Language Model.
.- Data-driven Management.
.- Database-Driven Gateway for Heterogeneous Protocol Conversion in Distributed PV Systems.
.- Social Media and Recommendation Systems.
.- DGUMA:Diffusion-Driven Graph and User Modal Augmentation for Long-Tail Multimodal Recommendations.
.- Novel methods for data analytics.
.- PIL_FD: Fast And Efficient Surface Defect Detection of Paper Products Based On Feature Point Analysis.
.- Research on a Lithium Battery Remaining Useful Life Estimation Method Based on Adaptive Spider Wasp Optimization Algorithm.
.- Phase Error Measurement on Raspberry Pi Pico: Combining Quadrature Generation and Narrowband DFT Methods.
.- Novel methods or tools for data visualization.
.- DISM-Gen: A Deep Learning-Based Method for Terracotta Warrior-Style Portrait Generation.
.- Education using big data, intelligent computing or data mining, etc.
.- A Knowledge Tracing Method Integrating Dynamic Student Profiling with Large Language Model Reasoning.
.- Engineering.
.- CAX-Agent: A Lightweight Agent Harness for Reliable APDL Automation.
.- Data-driven Smart City/Planet.
.- Adaptive Multiscale Spatiotemporal Feature Fusion for PM2.5 Forecasting via Time-varying Graph and Global Attention.
