Neural Computing for Advanced Applications (eBook, PDF)

5th International Conference, NCAA 2024, Guilin, China, July 5-7, 2024, Proceedings, Part I
Redaktion: Zhang, Haijun; He, Qian; Wu, Zhou; Meng, Weizhi; Hao, Tianyong; Li, Xianxian

• Format: PDF

Produktbeschreibung

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 5-7, 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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 466
• Erscheinungstermin: 21. September 2024
• Englisch
• ISBN-13: 9789819770014
• Artikelnr.: 72240848

Inhaltsangabe

.- 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.