£149.99

Springer Human-Centered Explainable Anomaly Detection Book

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Description

Explore the evolution of smart manufacturing with this comprehensive guide from Springer. Part of the Springer Series in Reliability Engineering, this book focuses on human-centered explainable anomaly detection within the context of Industry 5.0. As manufacturing processes become more complex, understanding the logic behind automated decisions is vital. This text provides a deep look into the theories, practical applications, and real-world case studies necessary to implement effective anomaly detection systems. It is designed for professionals and researchers looking to bridge the gap between advanced AI and human oversight in industrial environments. By focusing on explainability, this resource helps users understand how to integrate machine learning models into smart manufacturing workflows. Whether you are studying reliability engineering or looking to improve industrial automation, this book offers the technical foundation required for the next generation of manufacturing technology.

Key Features

Part of the respected Springer Series in Reliability Engineering for academic and professional use.

Covers essential theories regarding human-centered explainable anomaly detection.

Includes practical applications for implementing technology in Industry 5.0 environments.

Provides detailed case studies to illustrate real-world manufacturing scenarios.

Focuses on the intersection of AI, machine learning, and smart manufacturing systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 June 2026
Listed Since
04 November 2025

Barcode

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