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Neural computing for advanced applications5th international conference, NCAA 2024, Guilin, China, July 5-7, 2024, proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural computing for advanced applicationsedited by Haijun Zhang ... [et al.].
Reminder of title:	5th international conference, NCAA 2024, Guilin, China, July 5-7, 2024, proceedings.
other author:	Zhang, Haijun.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvii, 352 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural computersCongresses.
Online resource:	https://doi.org/10.1007/978-981-97-7004-5
ISBN:	9789819770045$q(electronic bk.)

Neural computing for advanced applications5th international conference, NCAA 2024, Guilin, China, July 5-7, 2024, proceedings.Part II /
Neural computing for advanced applications5th international conference, NCAA 2024, Guilin, China, July 5-7, 2024, proceedings.Part II /[electronic resource] :edited by Haijun Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvii, 352 p. :ill., digital ;24 cm. - Communications in computer and information science,21821865-0937 ;. - Communications in computer and information science ;229..

-- Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. -- Path planning of mobile robot with improved RRT algorithm. -- Adaptive allocation method of terminal container parameters based on evolutionary game. -- Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-based Proximal Policy Optimization with Rollback. -- Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOST. -- Hybrid neuro-fuzzy modeling for electricity consump-tion Prediction in middle-income Gauteng, South Afri-ca: utilizing fuzzy c-means method. -- Differential Evolution Algorithm Based on Staged Adaptive Mutation Strategy Selection. -- Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization. -- Many-objective artificial bee colony algorithm based on dual indicators. -- Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV. -- Application of machine learning in enterprise financial risk assessment: A study about China's A-share listed manufacturing companies. -- A Decision Method Combining Multi granularity Rough Set and VIKOR Method. -- A method for identifying fraudulent behavior in electricity bill collection based on nearest neighbor metric matching. -- Fuzzy PID-Based Control Method for Thickness Uniformity in Blown Film. -- Many-objective Artificial Bee Colony Algorithm Based on Decision Variable Grouping. -- A NOVEL ELM OPTIMIZATION AND ITS APPLICATION IN IoT INTRUSION DETECTION. -- Optimization of Rural Integrated Energy System with Shared Energy Storage on Multiple-timescales. -- Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economic Emission Dispatch using the Salp Swarm Algorithm. -- Switched Data-Driven Model based Precise Forecasting of Photovoltaic Energy Generation. -- Carbon Emission Efficiency Analysis of Pearl River Delta Ports Based on the Super-SBM-GML Index Model. -- MWOA-SVM Based Algorithm in Tumor Cell Detection Research. -- Rapid Detection of Formaldehyde Emission from Wood-based Panels Based on the IPOA-XGBoost. -- Enhancing Rural Electrification: Delivering Affordable and Clean Electricity through Mobile Battery Solutions. -- A novel electricity measurement system based on electricity usage identification. -- Shared Task on NCAA 2024: Chinese Diabetes Question Classification.

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.

ISBN: 9789819770045$q(electronic bk.)

Standard No.: 10.1007/978-981-97-7004-5doiSubjects--Topical Terms:

387160
Neural computers
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Neural computing for advanced applications5th international conference, NCAA 2024, Guilin, China, July 5-7, 2024, proceedings.Part II /
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520 $a 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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