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Ai-Enabled Manufacturing Processes And Intelligent Automation: Volume 02: Integration Of Ai And Ml Into Manufacturing

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We at NIPA when look back at the journey that started 47 years ago, we feel humbled. Sh Shree Pal Jain, the Founder, started the firm with just one room, one table and a set of chairs; with his sheer dedication, hard work, commitment and to develop everlasting relationships, throughout these nearly five decades have developed a customer centric and value-based company.

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Product details
Ai-Enabled Manufacturing Processes And Intelligent Automation: Volume 02: Integration Of Ai And Ml Into Manufacturing

Additional Information

Machine learning, deep learning, reinforcement learning and computer vision form the foundation here, each linked to its manufacturing use: intelligent production, adaptive control, quality inspection and automated decision-making.
The volume then examines the connected factory: cyber-physical systems, the Industrial Internet of Things, digital twins, cloud manufacturing and edge AI. Intelligent automation, predictive maintenance, supply chain optimisation, additive manufacturing, materials processing and sustainable manufacturing driven by real-time analytics receive special emphasis.
It also addresses the concerns that come with AI-driven industry: data security, ethical implications, workforce transformation and human-machine collaboration, alongside emerging trends such as Industry 5.0 and autonomous factories. Hitesh Vasudev writes for researchers, academicians, engineers and industry professionals. Engineering colleges can order in bulk.

Frequently Asked Questions

Q: Which AI techniques are covered?
A: Machine learning, deep learning, reinforcement learning and computer vision.
Q: Which manufacturing technologies are examined?
A: Cyber-physical systems, IIoT, digital twins, cloud manufacturing, edge AI, predictive maintenance and additive manufacturing.
Q: Does it address ethics and workforce?
A: Yes: data security, ethical implications, workforce transformation and human-machine collaboration.
Description provided by Nipa Genx Electronic Resources & Solutions.

AI-Enabled Manufacturing Processes and Intelligent Automation: Volume 02: Integration of AI and ML into Manufacturing

Hitesh Vasudev

Integration of AI and ML into Manufacturing

2

Hardback

330

English

NIPA

9789372195996

1

Specifications
Product Title
AI-Enabled Manufacturing Processes And Intelligent Automation: Volume 02: Integration Of AI And ML Into Manufacturing
Book Title
AI-Enabled Manufacturing Processes and Intelligent Automation: Volume 02: Integration of AI and ML into Manufacturing
Author/Edited/Compiled By
Hitesh Vasudev
Series Name
Integration of AI and ML into Manufacturing
Volume
2
Language
English
Imprint
NIPA
Year
2027
Binding
Hardback
Pages
330
ISBN
9789372195996
ISBN-10
9372195995
Subject
Forthcoming Titles, Complete Price List, Hardback, Data Science And Artificial Intelligence, Engineering, Robotics Automation And Nanotechnology
Minimum Order Quantity (MOQ)
1
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NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS
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Commercials Nipa Genx Electronic Resources & Solutions
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Frequently asked by buyers
What topics does this book cover for manufacturing professionals?

It covers AI, machine learning, deep learning, reinforcement learning, computer vision, cyber-physical systems, IIoT, digital twins, cloud manufacturing, edge AI, predictive maintenance, supply chain optimization, additive manufacturing, and sustainable manufacturing.

Is this title suitable for academic and industrial buyers?

Yes. It is designed for researchers, academicians, engineers, and industry professionals working in intelligent manufacturing and automation.

What is the binding and page count?

The book is supplied in hardback format and has 330 pages.

What is the ISBN for this volume?

The ISBN is 9789372195996 and the ISBN-10 is 9372195995.

Which series and volume does this book belong to?

It is Volume 2 in the series named Integration of AI and ML into Manufacturing.

Can this book support training on Industry 5.0 and autonomous factories?

Yes. The content explicitly addresses Industry 5.0, autonomous factories, and future intelligent manufacturing ecosystems.

What is the minimum order quantity for procurement?

The minimum order quantity is 1, making it suitable for single-copy institutional procurement or larger bulk orders.

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