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International Conference on Neural Computing for Advanced Applications 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I
Title
International Conference on Neural Computing for Advanced Applications [electronic resource] : 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu.
ISBN
9789819958443
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XXIII, 576 p.) 287 illus., 218 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; 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 (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Series
Communications in Computer and Information Science, 1869
Contents
Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis
Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex
Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction
Design of dissolved oxygen online controller based on adaptive dynamic programming theory
Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method
Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying "Dispersed, Disordered, and Polluting" Sites Based on Power Consumption Data
Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory
Prediction of TP in effluent at multiple scales based on ESN
Application of WOA-SVM based algorithm in tumor cell detection research
MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features
Self-Attention-Based Reconstruction for Planetary Magnetic Field
Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection
Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting
Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation
Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems
An enhanced subregion dominance relation for evolutionary many-objective optimization
A stacked autoencoder based meta-learning model for global optimization
Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions
Analysis of the impact of regional customer charging on the grid under the aggregator model
Indicators directed multi-strategy artificial bee colony algorithm
Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network
Artificial bee colony based on adaptive search strategies and elite selection mechanism
Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization
Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization
Complementary environmental selection for evolutionary many-objective optimization
An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer
A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization
An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection
Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage
Sequential Seeding Initialization for SNIC Superpixels
Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification
A twin learning evolutionary algorithm for capacitated vehicle routing problem
Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot
Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property
Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control
A multi-style interior floor plan design approach based on generative adversarial networks
Linear Model-based Optimal VVC Intercoding Rate Control Scheme
Detection and analysis of hanging basket wire rope broken strands based on Mallat algorithm
PointAF: A Novel Semantic Segmentation Network for Point Cloud
Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions
Research on crack identification of Highway Asphalt Pavement Based on deep learning.
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