Neural Computing for Advanced Applications

6th International Conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, Proceedings, Part I
Herausgegeben:Zhang, Haijun; Tsang, Kim Fung; Wang, Fu Lee; Hao, Tianyong; Wang, Zenghui; Wu, Zhou; Zhang, Zhao; Hung, Kevin

• Broschiertes Buch

Produktbeschreibung

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).

Produktdetails

• Communications in Computer and Information Science 2664
• Verlag: Springer, Berlin; Springer
• Artikelnr. des Verlages: 89548564
• Seitenzahl: 436
• Erscheinungstermin: 14. November 2025
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 657g
• ISBN-13: 9789819537358
• ISBN-10: 9819537355
• Artikelnr.: 75435825

Inhaltsangabe

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.