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Neural Computing for Advanced Applications: 5th International Conference, NCAA 2024, Guilin, China, July 57, 2024, Proceedings, Part I 2025 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 466 pages, kõrgus x laius: 235x155 mm, 203 Illustrations, color; 29 Illustrations, black and white; XXVI, 466 p. 232 illus., 203 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2181
  • Ilmumisaeg: 22-Sep-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819770009
  • ISBN-13: 9789819770007
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  • Formaat: Paperback / softback, 466 pages, kõrgus x laius: 235x155 mm, 203 Illustrations, color; 29 Illustrations, black and white; XXVI, 466 p. 232 illus., 203 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2181
  • Ilmumisaeg: 22-Sep-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819770009
  • ISBN-13: 9789819770007
This book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 57, 2024.





The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 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; Computer vision, and their engineering applications.





Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks.





Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.
.- Neural network (NN) theory, NN-based control systems, neuro-system
integration and engineering applications.



.- WPG-CAM: A novel weighted feature fusion CAM method based on information
entropy using pooling and Gaussian upsampling.



.- Radical Basis Neural Network Based Anti-sway Control for 5-DOF
Ship-mounted Crane.



.- Online Car-hailing Order Matching Method Based on Demand Clustering and
Reinforcement Learning.



.- Multi-objective optimization of antenna based on improved WOA-BP neural
network.



.- A multi-mechanism collaborative seagull optimization algorithm for
optimizing BP neural network classification model.



.- An Analysis on Balance Model of Exploration and Exploitation Under
Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers.



.- Marine Ship Detection Under Fog Conditions Based on an Improved
Deep-Learning Approach.



.- Skeleton-Based Point Cloud Sampling and its Facilitation to
Classification.



.- Multi-agent reinforcement learning for taxi-fleet cruising strategy in
ride-hailing services.



.- A new indoor occupancy detection model by integrating the efficient
multi-scale attention mechanism into the EfficientDet model.



.- A Novel Automatic Generation Method for Neural Network by Using Iterative
Function System.



.- A Predictive Maintenance Platform for a Conveyor Motor Sensor System Using
Recurrent Neural Networks.



.- A deep learning-based method facilitates scRNA-seq cell type
identification.



.- Adaptive Hierarchical Clustering based Student Group Exercise
Recommendation via Multi-Objective Evolutionary Method.



.- Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model
for Wind Power Generation.



.- Efficient Path Planning for Large-Scale Vehicular Networks via Multi-Agent
Mean Field Reinforcement Learning.



.- A fast and accurate reconstruction method for boiler temperature field
based on inverse distance weight and long short-term memory.



.- RoBERTa-WWM-CBA:A Mental Disease Identification Model Based on RoBERTa-WWM
and Hybrid Neural Networks.



.- Computer vision, and their engineering applications.



.- A 3D Pose Estimation Method based on Deep Learning for Markerless Fish.



.- Safety Helmet-wearing Detection Method Fusing Pose Estimation.



.- Clothes Image Retrieval via Learnable FashionCLIP.



.- Mannequin2Real+: A Two-Stage Framework for Generating Photorealistic Model
Images from Mannequins with Specified Identities for Clothing Display.



.- A MSARM-based EIT Image Reconstruction Method.



.- A Survey on Deep Learning-Based Medical Image Registration.



.- Design and Development of Wearable Knee Rehabilitation System based on
Motor Imagery Brain Computer Interface.



.- SHGNN: Substructure-Aware and High Expressive Graph Neural Networks for
Graph Classification.



.- Sensor Embedding and Variant Transformer Graph Networks for Multi-Source
Data Anomaly Detection.



.- A Method for Sleep Staging Using Single-Channel EEG Signals Based on
Horizontal Visibility Graph and Graph Isomorphism Network.



.- GT-ACGAN : Graph Topology-based Auxiliary Classifier GAN for graph
long-tailed classification.



.- SNN-CPG Hierarchical Control Enhanced Motion Performance of Robotic Fish
Based on STDP.



.- Pedestrian Fall Detection Algorithm Based on Improved YOLOv7.



.- A Study on Image Reconstruction Based on Decoding fMRI Through Extracting
Image Depth Features.