International Conference on Neural Computing for Advanced Applications

​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.- 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.