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Full Description
This two-volume set CCIS 2664 and 2665 constitutes the refereed proceedings of the 6th International Conference on Neural Computing for Advanced Applications, NCAA 2025, held in Hong Kong, China, during July 4-6, 2025.
The 62 full papers presented in these proceedings were carefully reviewed and selected from 160 submissions. The papers are organized in the following topical sections:
Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications.
Part II: Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading; Multimodal deep learning for representation, fusion and applications; Workshop session: International Conference on Cognitive Intelligence (ICCI).
Contents
Natural Language Processing, Knowledge Graphs, Recommender Systems, and their Applications.- A Temporal Knowledge Graph Completion Model Based on Contrastive Learning and Relation Dependency Enhancement Method.- A Chatbot Assistant Framework for Training Industry 5.0 Factory Workers on Troubleshooting Skills using Generative AI and a Backup Recovery System.- Knowledge-Augmented Reinforcement Learning for Real Time Flight-Constrained Ascent Trajectory Generation.- Enhancing Generative Retrieval through MultiView Identifier Generation and Fusion.- Formal Concept Analysis for Yard Template Planning.- Is Training Data Quality or Quantity More Important for Small Language Models?- Self-Explanation-Augmented Generation for Natural Language Inference.- LQRPP-KGQA: LLM-Based Question Reasoning Paths Prediction For Enhancing Question-Specific Subgraph Construction.- NanTong Blue Calico Pattern Cultural System Constructed Using Ontology Technique.- A New Ontology Matching Method Based on Large Language Model and Graph Structure Learning.- Self-Supervised Mutual Learning for Scene Text Detection.- Neural Computing-based Fault Diagnosis and Forecasting, Prognostic Management, and Cyber-physical System Security.- A Privacy-Preserving and Adversarially Robust Hybrid Deep-Quantum Model for CPS Security".- Topology Mapping Technology of Overhead Distribution Line Based on Density Clustering of UAV Inspection.- Multi-Domain Alignment Transformer for Mechanical Fault Diagnosis Under Varied Running Conditions.- Game Attribution-based Causal Learning Interpretable Networks for Intelligent Fault Diagnosis.- A Multi-Agent AI Predictive Maintenance System Integrating Data Analysis, Diagnostics, and Scheduling for Smart Factories.- Cointegration Analysis and Fault-oriented Adversarial One-class Classifier based Fault Detection for the AHU.- Novel Zero-Day Attack Detection System Based on Autoencoder and Isolation Forest.- DRL-Guided Fluid Navigation and Virtual Coordination for Hierarchical Multi-UAV Cooperative Attack.- Sequence Learning for Spreading Dynamics, Forecasting, and Intelligent Techniques against Epidemic Spreading.- Hierarchical Frequency Decomposition Enhanced Multi Resolution Analysis for Robust Time Series Forecasting.- Condition Monitoring and Adaptive Early Warning Method of Rolling Bearings under Time-varying Working Conditions.- WavNet: Learning Time-Frequency Representations for Robust SSVEP-Based BCIs.- Trend-Captured Stock Forecasting Framework via Frequency Domain Disentanglement and Dynamic Feature Fusion.- A Machine Learning Approach for Medium-Term Electrical Load Forecasting Using Hybrid Neuro-Fuzzy Modeling.- State-of-Charge Estimation of Distributed Energy Storage Devices with BiLSTM-TCN Model.- Multimodal Deep Learning for Representation, Fusion and Applications.- Improving Training Phase for Restoration of Ancient Documents using DeepFillv2.- Temporal Context Aggregation for Visual Tracking Using Valid Frame and Knowledge Token.- When Vision Mamba Meets Robotic Grasping: An Efficient Grasp Detection Network for Real-time Robotic Manipulation.- A Data Generation Method based on Generative Adversarial Network and Mamba.- CATransformer: A Class-Aware Transformer within a Dual-Layer Framework for Imbalanced Tabular Data.- TEFusion: A Multimodal-Feature Fusion Framework for Image and Radar.- Workshop Session: International Conference on Cognitive Intelligence (ICCI).- Multi-Task Co-Calibration Network for Cross-Session Adaptation to Electrode Displacement in Hand Gesture Recognition and Joint Angle Estimation.- A Comparative Study of Attitude Resources between LLM-based Translation and Human Translation.
