Description
Artificial Intelligence and Machine Learning for Industry 4.0
Architect the autonomous factory of the next era and master the high-performance protocols of modern industrial intelligence. Artificial Intelligence and Machine Learning for Industry 4.0 provides a definitive, engineering-first roadmap to the most significant shift in manufacturing since the digital revolution. Learn how to move beyond manual oversight to high-velocity, predictive operations—bridging the gap between a standalone machine and a sophisticated, learning-capable ecosystem—ensuring your technical infrastructures are resilient, scalable, and ready for the 2026 industrial landscape.
Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.
What You Will Learn:
Foundations of Smart Manufacturing: Master the core principles of Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT), and the essential role of deep learning in modern production lines.
Predictive Maintenance & Quality Control: Step-by-step guidance on utilizing real-time sensor data and machine learning algorithms to identify anomalies before system failure, maintaining peak operational integrity.
Modern Supply Chain Optimization: Discover how to utilize genetic algorithms and swarm intelligence to streamline logistics and inventory management with professional-grade precision.
Strategic Security & Data Sovereignty: Learn advanced techniques for maintaining information security within interconnected factory networks, protecting proprietary operational data from external manipulation.
Who This Book is For: This professional-grade guide is essential for Industrial Engineers, Data Scientists, and Automation Architects. It is an invaluable resource for any technical lead—including those building highly secure, IoT-driven graduation projects like Smart Guard—aiming to master the technical agility and structural precision required for modern, AI-enhanced industrial delivery.
Product Details:
Format: Digital PDF Download
Authors: M. Thirunavukkarasan; S. A. Sahaaya Arul Mary; Sathiyaraj R.; G. S. Pradeep Ghantasala; Mudassir Khan
Publisher: Wiley
ISBN-13: 9781394275052
ISBN-10: 1394275056




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