Neural Computing for Advanced Applications (Paperback)

Haijun Zhang

ISBN 10: 9819770068 / ISBN 13: 9789819770069

Published by Springer Verlag, Singapore, 2024

About this Item

Paperback. 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 57, 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. 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 57, 2024.The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789819770069

Bibliographic Details

• Title: Neural Computing for Advanced Applications (Paperback)
• Publisher: Springer Verlag, Singapore
• Publication Date: 2024
• Language: English
• ISBN 10: 9819770068
• ISBN 13: 9789819770069
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.