Neural Computing for Advanced Applications
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).
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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 Pantograph-Catenary 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.
