E-grāmata: International Conference on Neural Computing for Advanced Applications: 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I

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 Alzheimers 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.- Predictionof 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.