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  • Produktbild: International Conference on Neural Computing for Advanced Applications
  • Produktbild: International Conference on Neural Computing for Advanced Applications
Band 1869 - 12%

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

Aus der Reihe Communications in Computer and Information Science
12% sparen

95,99 € UVP 109,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.09.2023

Abbildungen

XXIII, 576 p. 287 illus., 218 illus. in color.

Herausgeber

Haijun Zhang + weitere

Verlag

Springer Singapore

Seitenzahl

576

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9958-43-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.09.2023

Abbildungen

XXIII, 576 p. 287 illus., 218 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

576

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9958-43-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: International Conference on Neural Computing for Advanced Applications
  • Produktbild: 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.