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Neural computing for advanced applications = 6th international conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, proceedings.. Part I /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural computing for advanced applications/ edited by Haijun Zhang ... [et al.].
Reminder of title:	6th international conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, proceedings.
remainder title:	NCAA 2025
other author:	Zhang, Haijun.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxii, 411 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) -
Online resource:	https://doi.org/10.1007/978-981-95-3736-5
ISBN:	9789819537365

Neural computing for advanced applications = 6th international conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, proceedings.. Part I /
Neural computing for advanced applications6th international conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, proceedings.Part I /[electronic resource] :NCAA 2025edited by Haijun Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxii, 411 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,26641865-0937 ;. - Communications in computer and information science ;311..

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.

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).

ISBN: 9789819537365

Standard No.: 10.1007/978-981-95-3736-5doiSubjects--Topical Terms:

528588
Neural networks (Computer science)

LC Class. No.: QA76.87 / .I58 2025

Dewey Class. No.: 006.32

Neural computing for advanced applications = 6th international conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, proceedings.. Part I /
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