Neural Computing for Advanced Applications

5th International Conference, NCAA 2024, Guilin, China, July 5-7, 2024, Proceedings, Part II
Herausgegeben:Zhang, Haijun; Li, Xianxian; Hao, Tianyong; Meng, Weizhi; Wu, Zhou; He, Qian

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2182
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-7003-8
• 2025
• Seitenzahl: 372
• Erscheinungstermin: 22. September 2024
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 564g
• ISBN-13: 9789819770038
• ISBN-10: 9819770033
• Artikelnr.: 71249015

Inhaltsangabe

.- 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.