Advances in Intelligent Data and Information Processing
Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1
Published on 5. April 2026
IX, 332 pages
978-3-032-16705-7 (ISBN)
Description
This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address real-world intelligent data processing challenges, prioritizing actionable solutions over theoretical abstraction. By bridging algorithmic foundations with industry-specific use cases, it equips readers to translate technical concepts into deployable systems efficiently.
Unlike traditional texts that silo theory and practice, this approach embeds hands-on implementation frameworks, including data preprocessing pipelines, model optimization techniques, and scalability strategies, directly within contextualized problem-solving scenarios. Covering core topics from edge AI deployment to large-scale data analytics, it spans both foundational principles and emerging trends like federated learning and real-time processing. Tailored for IT professionals, computer science practitioners, and engineering researchers, it also serves as a valuable resource for graduate students specializing in data science or intelligent systems. Ideal for upskilling, project reference, or curriculum supplementation, it empowers readers to tackle complex data-intensive tasks with confidence in academic, corporate, or R&D settings.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
IX, 332 p. 116 illus., 98 illus. in color.
File size
41,14 MB
ISBN-13
978-3-032-16705-7 (9783032167057)
DOI
10.1007/978-3-032-16705-7
Schweitzer Classification
Other editions
Additional editions
Witold Pedrycz | John Wang | Kuo-Kun Tseng
Advances in Intelligent Data and Information Processing
Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1
Book
04/2026
Springer
€213.99
Shipment within 15-20 days
Persons
Content
.- Research on Financial Time Series Forecasting Algorithm based on Graph Convolutional Network.- Research on Foreign Object Detection Method in Mineral Belt Based on Lightweight YOLO.- Research on Communication Topology Modeling and Anomaly Detection for Electric Power Call Platform.- Energy Digital Object Graph Generation Method Based on Cross Modal Data Fusion, etc.
