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Lecture Notes in Networks and Systems: Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2
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Lecture Notes in Networks and Systems: Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2
Pedrycz, Witold; Wang, John; Tseng, Kuo-Kun; Qu, Xilong
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.
Details
Published by: Springer
Publication Date: 2026-02-23
Format: Paperback
ISBN-13: 9783032167019
DOI: 10.1007/978-3-032-16702-6
Dimensions: 235cm x155cm
Pages: 304