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 46, 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).

Inhalt

Neural Network (NN) Theory, NN-based Control Systems, Neuro-system Integration and Engineering Applications.- Explainable Strategy Generation Based on Neurally Directed Program Search in Adversarial Environment.- An Efficient Mapping Framework for 2D Quantum Architecture.- Improved Soft Actor-Critic Algorithm for Autonomous Helicopter Target Hovering.- Dynamic Weighted Voting Fusion Network for Raman Spectra of Hydroxylated Polycyclic Aromatic Hydrocarbons.- KAN-Driven Graph Networks: Multi-Domain Randomization and Regularization.- Energy Management in Microgrids Using Deep Reinforcement Learning.- Building a Surrogate Model for Diesel Engine Intake-Exhaust Systems Using Neural Ordinary Differential Equations.- Dynamic Path Planning of UAV by Using TD3-Enhanced Adaptive Potential Field.- Exploring Emotion Regulation Mechanisms in Healthy Aging based on EEG Multiband Functional Connectivity.- Structured Pruning for Model Compression in Passionflower Recognition.- Robust Reinforcement Learning for UAV via Contrastive Feature Representations.- The Paradox of Uncertainty: How Tolerance for Uncertainty Modulates Approach Motivation - Evidence from ERPs Experiments.- Design of Triple Notch Ultra-wideband Antenna Based on Multi-strategy Improved Whale Optimization Algorithm.- Indoor Decoration Robot Localization Method Based on Building Information Modeling.- Deep Learning-driven Pattern Recognition, Computer Vision and its Industrial Applications.- Neural Architecture Search for Medical Image Classification via Latent Space and Evolutionary Optimization.- PMF-YOLO: Object Detection in Multimodal Remote Sensing Images Based on Pixel and Multi-scale Fusion.- A Challenge on Gradient Compression of Distributed Training in Image Classification.- Research on Visual Automatic Detection and Tracking Algorithm for Horizontal Transportation Vehicles in Container Terminals.- TOAF-Det: A Remote Sensing Image Detector with Supervised Attention Mechanism.- Edge Feature-enhanced Swin Transformer for Insect Image Classification.- Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis.- A Machine Vision-Based Method for PantographCatenary Contact Point Position Detection on Electrified Highways.- An Advanced WaveGAN Approach for Data Generation of ECG Images.- Design of Lightweight Fish Classification Model based on Neural Architecture Search.- Deep Learning-Based Cell Type Deconvolution in Spatial Transcriptomics: A Brief Review.- LViT: A Lightweight ViT for Stroke Lesion Segmentation.- Dynamic Threshold Token Subsampling for Vision Transformer in Cloud Computing.- HCEVAE: A Robust Heterogeneous Causal Effects Variational Autoencoder Framework.- EEG and fNIRS-Based Emotion Recognition Using an Improved Graph Isomorphism Network.